CN115936281A - Charging planning method and device for electric vehicle, electric vehicle and storage medium - Google Patents
Charging planning method and device for electric vehicle, electric vehicle and storage medium Download PDFInfo
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Abstract
The application relates to a charging planning method and device for an electric automobile, the electric automobile and a storage medium. The method comprises the following steps: acquiring initial residual electric quantity, a driving route and unit driving energy consumption of the electric automobile, and determining the position of each charging station within a preset range of the driving route according to the driving route; obtaining first time for waiting for traffic lights according to a driving route; obtaining total energy consumption and running time of the electric vehicle running to each charging station according to the running route and unit running energy consumption; obtaining the charging time of the electric automobile according to the initial residual electric quantity and the total energy consumption; obtaining second time according to the position of each charging station and the destination in the driving route; according to the first time, the driving time, the charging time and the second time, obtaining total time corresponding to each charging station, and selecting the charging station with the minimum total time as a target charging station; and performing charging planning according to the position of the target charging station. By adopting the method, the charging planning of the electric automobile can be realized.
Description
Technical Field
The present application relates to the field of charging technologies, and in particular, to a method and an apparatus for charging planning of an electric vehicle, and a storage medium.
Background
With the development of electric automobile technology, the existing electric automobiles have higher and higher holding rate, and the electric automobiles have the characteristic of incapability of long-term endurance, so that users cannot directly reach destinations from departure points by means of the current residual electric quantity of the electric automobiles when the users travel for long distances. At present, when a user travels in a long distance, the user needs to judge or search a charging station, and troubles are caused for the user to go out.
Disclosure of Invention
In view of the above, it is necessary to provide a charging planning method and apparatus for an electric vehicle, and a storage medium, which can implement a charging planning, for the above technical problems.
In a first aspect, the present application provides a charge planning method for an electric vehicle. The method comprises the following steps:
acquiring initial residual electric quantity, a driving route and unit driving energy consumption of the electric automobile, and determining the position of each charging station in a preset range of the driving route according to the driving route;
obtaining first time for waiting for traffic lights according to the driving route;
obtaining total energy consumption and running time of the electric vehicle running to each charging station according to the running route and the unit running energy consumption;
obtaining the charging time of the electric automobile according to the initial residual electric quantity and the total energy consumption;
obtaining second time according to the position of each charging station and the destination in the driving route;
according to the first time, the driving time, the charging time and the second time, obtaining total time corresponding to each charging station, and selecting the charging station with the minimum total time as a target charging station;
and performing charging planning according to the position of the target charging station.
In one embodiment, the obtaining a total time according to the first time, the travel time, the charging time, and the second time, and obtaining the location of the target charging station with the minimum total time as a target includes:
obtaining the waiting charging time of the target charging station;
and obtaining the total time according to the first time, the driving time, the waiting charging time, the charging time and the second time, and obtaining the position of the target charging station by taking the minimum total time as a target.
In one embodiment, the obtaining of the initial remaining capacity of the electric vehicle includes:
acquiring the battery capacity and the electric quantity of the electric automobile in a full-power state and the currently used battery capacity;
and obtaining the initial residual electric quantity of the electric automobile according to the battery capacity and electric quantity of the electric automobile in the full-charge state and the currently used battery capacity.
In one embodiment, the obtaining unit driving energy consumption of the electric vehicle includes:
obtaining the congestion degree of each road section in the driving route according to the driving route;
and acquiring unit driving energy consumption of each road section according to the congestion degree.
In one embodiment, the driving route includes a horizontal section and a non-horizontal section, and the obtaining of the unit driving energy consumption of each section according to the congestion degree includes:
acquiring first unit driving energy consumption of the horizontal road section according to the congestion degree of the horizontal road section;
and acquiring the second unit driving energy consumption of the non-horizontal road section according to the congestion degree of the non-horizontal road section.
In one embodiment, the obtaining of the total energy consumption of the electric vehicle traveling to the target charging station according to the traveling route and the unit traveling energy consumption includes:
determining a first distance of a horizontal road segment and a second distance of a non-horizontal road segment in the driving route;
obtaining first energy consumption of the horizontal road section according to the first distance and the first unit driving energy consumption;
obtaining second energy consumption of the non-horizontal road section according to the second distance and the second unit driving energy consumption;
and obtaining the total energy consumption of the electric vehicle running to a target charging station according to the first energy consumption and the second energy consumption.
In a second aspect, the application further provides a charging planning device for an electric vehicle. The device comprises:
the first acquisition module is used for acquiring the initial residual electric quantity, the driving route and the unit driving energy consumption of the electric automobile and determining the position of each charging station in the preset range of the driving route according to the driving route;
the first time obtaining module is used for obtaining first time for waiting for traffic lights according to the driving route;
the second acquisition module is used for acquiring total energy consumption and running time of the electric vehicle running to each charging station according to the running route and the unit running energy consumption;
the third acquisition module is used for acquiring the charging time of the electric automobile according to the initial residual electric quantity and the total energy consumption;
a second time obtaining module, configured to obtain a second time according to the location of each charging station and a destination in the driving route;
the position determining module is used for obtaining the total time corresponding to each charging station according to the first time, the driving time, the charging time and the second time, and selecting the charging station with the minimum total time as a target charging station;
and the planning module is used for carrying out charging planning according to the position of the target charging station.
In a third aspect, the present application also provides a computer device. The computer device comprises a memory storing a computer program and a processor implementing the following steps when executing the computer program:
acquiring initial residual electric quantity, a driving route and unit driving energy consumption of the electric automobile, and determining the position of each charging station in a preset range of the driving route according to the driving route;
obtaining first time for waiting for traffic lights according to the driving route;
obtaining total energy consumption and running time of the electric vehicle running to each charging station according to the running route and the unit running energy consumption;
obtaining the charging time of the electric automobile according to the initial residual electric quantity and the total energy consumption;
obtaining second time according to the position of each charging station and the destination in the driving route;
according to the first time, the driving time, the charging time and the second time, obtaining total time corresponding to each charging station, and selecting the charging station with the minimum total time as a target charging station;
and performing charging planning according to the position of the target charging station.
In a fourth aspect, the present application further provides a computer-readable storage medium. The computer-readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of:
acquiring initial residual electric quantity, a driving route and unit driving energy consumption of the electric automobile, and determining the position of each charging station in a preset range of the driving route according to the driving route;
obtaining first time for waiting for traffic lights according to the driving route;
obtaining total energy consumption and running time of the electric vehicle running to each charging station according to the running route and the unit running energy consumption;
obtaining the charging time of the electric automobile according to the initial residual electric quantity and the total energy consumption;
obtaining a second time according to the positions of the charging stations and the destination in the driving route;
according to the first time, the driving time, the charging time and the second time, obtaining total time corresponding to each charging station, and selecting the charging station with the minimum total time as a target charging station;
and performing charging planning according to the position of the target charging station.
In a fifth aspect, the present application further provides a computer program product. The computer program product comprising a computer program which when executed by a processor performs the steps of:
acquiring initial residual electric quantity, a driving route and unit driving energy consumption of the electric automobile, and determining the position of each charging station in a preset range of the driving route according to the driving route;
obtaining first time for waiting for traffic lights according to the driving route;
obtaining total energy consumption and running time of the electric vehicle running to each charging station according to the running route and the unit running energy consumption;
obtaining the charging time of the electric automobile according to the initial residual electric quantity and the total energy consumption;
obtaining a second time according to the positions of the charging stations and the destination in the driving route;
according to the first time, the driving time, the charging time and the second time, obtaining total time corresponding to each charging station, and selecting the charging station with the minimum total time as a target charging station;
and performing charging planning according to the position of the target charging station.
According to the charging planning method and device for the electric vehicle, the electric vehicle and the storage medium, the initial residual electric quantity, the driving route and the unit driving energy consumption of the electric vehicle are obtained, and the position of each charging station in the preset range of the driving route is determined according to the driving route; obtaining first time for waiting for traffic lights according to the driving route; obtaining total energy consumption and running time of the electric vehicle running to each charging station according to the running route and the unit running energy consumption; obtaining the charging time of the electric automobile according to the initial residual electric quantity and the total energy consumption; obtaining a second time according to the positions of the charging stations and the destination in the driving route; according to the first time, the driving time, the charging time and the second time, obtaining total time corresponding to each charging station, and selecting the charging station with the minimum total time as a target charging station; and performing charging planning according to the position of the target charging station. Through the mode, the total time required by calculation is calculated by taking each charging station as an assumed approach point according to the path planning, and then the charging station with the minimum total time is selected as the target charging station, so that the charging planning of the vehicle owner is assisted.
Drawings
FIG. 1 is a diagram of an exemplary charging planning method for an electric vehicle;
FIG. 2 is a schematic flow chart illustrating a method for planning charging of an electric vehicle according to an embodiment;
FIG. 3 is a block diagram showing a configuration of a charge planning apparatus for an electric vehicle according to an embodiment;
fig. 4 is an internal structural view of an electric vehicle in one embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The charging planning method for the electric vehicle provided by the embodiment of the application can be applied to the application environment shown in fig. 1. The electric vehicle 102 communicates with a server 104 of the power grid via a network. The data storage system may store data that the server 104 needs to process. The data storage system may be integrated on the server 104 or may be placed on the cloud or other network server. The electric vehicle 102 sends parameters such as its own electric quantity, driving route, driving speed, etc. to the server 104 of the power grid, so as to facilitate the charging planning of the server 104. The server 104 may be implemented as a stand-alone server or a server cluster composed of a plurality of servers.
In one embodiment, as shown in fig. 2, there is provided a charge planning method for an electric vehicle, including the steps of:
The application can be applied to the server in fig. 1, and can also be applied to an electric vehicle. The present application will be described with reference to an example of application to an electric vehicle.
The electric automobile obtains initial residual electric quantity, a driving route and unit driving energy consumption of the electric automobile, and the position of each charging station in a preset range of the driving route is determined according to the driving route. For example, the initial remaining power may be obtained by directly reading the battery management module, the unit driving energy consumption may generally be obtained by software built in the electric vehicle (generally, the electric vehicle may record the current travel and the current electric quantity, the consumed electric quantity may be obtained by subtracting the current electric quantity from the initial electric quantity, and then the ratio of the travel to the consumed electric quantity may be obtained, i.e., the unit driving energy consumption may be obtained), and the position of each charging station within the preset driving route range may be obtained by using a map function in the electric vehicle, and the preset range may be, for example, within 1 kilometer.
Specifically, the time for the electric vehicle to wait for the traffic lights can be obtained according to the driving route, and for convenience of description, the first time is defined as the first time, for example, the number of all the traffic lights in the route can be determined according to the driving route, and then the first time can be obtained by multiplying the number of the traffic lights by the unit waiting time, wherein the unit waiting time can be obtained by counting the average time for a plurality of vehicles to wait for each traffic light, and can be obtained by technical personnel according to the existing data statistics, or can be obtained by the server according to the existing data calculation.
And step 230, obtaining the total energy consumption and the running time of the electric vehicle running to each charging station according to the running route and the unit running energy consumption.
And 240, obtaining the charging time of the electric automobile according to the initial residual electric quantity and the total energy consumption.
Specifically, after the driving route and the unit driving energy consumption are obtained, calculation is performed by any one of the charging stations in the driving route, and the total energy consumption and the driving time of the electric vehicle driving to the charging station are calculated. And calculating the charging time of the electric automobile according to the initial residual electric quantity and the total energy consumption of the electric automobile. Exemplary, time T of electric vehicle charging c ：
Wherein, P represents the fast charging power; eta is the quick charging efficiency; e max At maximum battery capacity, but considering the service life of the battery, the charging is stopped assuming that the vehicle is charged to 90% of the battery capacity each time.
It can be understood that, if the total power consumption is greater than the initial remaining power, it indicates that the charging station corresponding to the total power consumption cannot be driven only by the initial remaining power, and therefore in this embodiment, the charging station with the initial remaining power greater than the total power consumption is selected for calculation, so as to save the calculation amount and avoid a part of invalid calculation amount.
And step 250, obtaining a second time according to the positions of the charging stations and the destination in the driving route.
Specifically, the time for traveling from each charging station location to the destination is obtained according to each charging station location and the destination in the traveling route, and is defined as a second time, and the second time may be equal to a ratio of a distance between each charging station location and the destination to the traveling speed.
And 260, obtaining the total time corresponding to each charging station according to the first time, the driving time, the charging time and the second time, and selecting the charging station with the minimum total time as a target charging station.
Specifically, the total time corresponding to each charging station is calculated according to the result obtained by calculation of each charging station, wherein the total time is equal to the sum of the first time, the travel time, the charging time and the second time, then the size of the total time required by each charging station is compared, and the charging station corresponding to the minimum total time is selected as the target charging station, so that the position of the target charging station is determined.
And 270, performing charging planning according to the position of the target charging station.
Specifically, according to the target charging station determined in the determining step 270, the position of the target charging station is obtained, and the target charging station is used as a route point to perform route planning and charging planning.
According to the charging planning method, the device, the equipment and the storage medium of the electric automobile, the initial residual electric quantity, the driving route and the unit driving energy consumption of the electric automobile are obtained, and the position of each charging station in the preset range of the driving route is determined according to the driving route; obtaining first time for waiting for traffic lights according to the driving route; obtaining total energy consumption and running time of the electric vehicle running to each charging station according to the running route and the unit running energy consumption; obtaining the charging time of the electric automobile according to the initial residual electric quantity and the total energy consumption; obtaining a second time according to the positions of the charging stations and the destination in the driving route; according to the first time, the driving time, the charging time and the second time, obtaining total time corresponding to each charging station, and selecting the charging station with the minimum total time as a target charging station; and performing charging planning according to the position of the target charging station. Through the mode, the total time required by calculation is calculated by taking each charging station as an assumed approach point according to the path planning, and then the charging station with the minimum total time is selected as the target charging station, so that the charging planning of the vehicle owner is assisted.
In one embodiment, obtaining a total time based on the first time, the travel time, the charging time, and the second time, and obtaining the location of the target charging station with the total time being a minimum comprises:
obtaining the waiting charging time of the target charging station;
and obtaining the total time according to the first time, the driving time, the waiting charging time, the charging time and the second time, and obtaining the position of the target charging station by taking the minimum total time as a target.
Specifically, the electric vehicle can also obtain the waiting charging time of the target charging station, specifically, the number of charging piles of the target charging station, the use condition of the charging piles, the electric vehicles queued in each charging pile and the waiting charging amount of the queued electric vehicles can be obtained through the server, and the waiting charging time of the electric vehicle arriving at the target charging station is calculated.
And then calculating the total time corresponding to each charging station, wherein the total time is equal to the sum of the first time, the driving time, the charging time, the waiting charging time and the second time, comparing the total time required by each charging station, and selecting the charging station corresponding to the minimum total time as the target charging station so as to determine the position of the target charging station.
The embodiment further considers the waiting charging time of each charging pile, so that the final result is more accurate.
In one embodiment, obtaining the initial remaining capacity of the electric vehicle comprises:
acquiring the battery capacity and the electric quantity of the electric automobile in a full-electricity state and the currently used battery capacity;
and obtaining the initial residual electric quantity of the electric automobile according to the battery capacity and the electric quantity of the electric automobile in the full-power state and the currently used battery capacity.
Specifically, as an embodiment, in order to obtain the initial remaining capacity of the electric vehicle more accurately, the embodiment detects the circuit of the electric vehicle, and exemplarily detects the battery capacity of the electric vehicle in units of amperes per hour.
The detection process of the electric vehicle circuit can comprise the following steps:
the battery capacity in the full state was set to A max If the currently used battery capacity is A α Then utilize A max And A α The intermediate difference can calculate the total available battery capacity as A l 。
A l ＝A max -A a
Corresponding battery residual capacity E l Can be obtained by the following operation:
wherein E is max I.e. the charge of the battery in a fully charged condition.
In one embodiment, acquiring unit driving energy consumption of the electric automobile comprises the following steps:
acquiring the congestion degree of each road section in the driving route according to the driving route;
and acquiring unit driving energy consumption of each road section according to the congestion degree.
Specifically, the energy consumption determining factor of the electric vehicle per unit mileage is the current traffic jam condition, that is, the driving speed of the electric vehicle is different under different traffic jam conditions, so that different electric energy consumption occurs. The traffic jam condition has a certain influence on the running time of the electric automobile, the higher the congestion degree of the automobile passing through a road section is, the longer the time is consumed, and the shorter the time is consumed otherwise. In order to further improve the accuracy of the result, the present embodiment is directed to dividing congestion situations in the driving route. And obtaining the unit driving energy consumption of each road section according to different congestion conditions.
For example, the urban traffic road section can be divided into four levels, namely an express way, a main line, a secondary line and a branch, and each level can present different average speeds according to different traffic conditions. The trunk line is a trunk line which is communicated with each important area in a city, takes the road traffic capacity as the key point, and sets the research range of the main trunk line as the trunk line of the city; and the traffic congestion degree of the trunk line is set to four levels of severe congestion, moderate congestion, light congestion and smooth traffic. For later calculation, the congestion coefficient is introduced herein to represent the congestion degree, and the calculation formula is as follows:
the unit mileage electricity consumption on the urban main road is as follows:
when the vehicle travels through section d, the battery consumes energy as follows:
E d ＝ΔE×L d
wherein L is d Represents the actual length of the link d, and Δ E represents the consumed capacity in kilometers (kWh/km).
Further, the driving route comprises a horizontal section and a non-horizontal section, and the obtaining of the unit driving energy consumption of each section according to the congestion degree comprises:
acquiring first unit driving energy consumption of the horizontal road section according to the congestion degree of the horizontal road section;
and acquiring the second unit driving energy consumption of the non-horizontal road section according to the congestion degree of the non-horizontal road section.
Specifically, in this embodiment, the driving route includes a horizontal road section and a non-horizontal road section, and different road sections have different unit driving energy consumption, and in order to improve accuracy of the result, according to the congestion degree of the horizontal road section, the first unit driving energy consumption of the horizontal road section is obtained, and according to the congestion degree of the non-horizontal road section, the second unit driving energy consumption of the non-horizontal road section is obtained.
Correspondingly, the time spent by the user from the starting point to the charging station
Wherein V represents the average speed of the electric vehicle, d l，fm And d v，nm Representing horizontal and non-horizontal road segments, respectively.
In one embodiment, obtaining the total energy consumption of the electric vehicle driving to the target charging station according to the driving route and the unit driving energy consumption comprises:
determining a first distance of a horizontal section and a second distance of a non-horizontal section in the driving route;
obtaining first energy consumption of the horizontal road section according to the first distance and the first unit driving energy consumption;
obtaining second energy consumption of the non-horizontal road section according to the second distance and the second unit driving energy consumption;
and obtaining the total energy consumption of the electric vehicle when the electric vehicle runs to a target charging station according to the first energy consumption and the second energy consumption.
Specifically, after obtaining the unit energy consumption of different road sections, a first distance of a horizontal road section and a second distance of a non-horizontal road section in the driving route are obtained according to the driving route, and then the first energy consumption of the horizontal road section is obtained according to the first distance and the first unit driving energy consumption
Obtaining a second energy consumption of the non-level road segment according to the second distance and the second unit driving energy consumption, for example, the second energy consumption
And the total energy consumption of the electric vehicle when the electric vehicle runs to the target charging station is equal to the sum of the first energy consumption and the second energy consumption.
It should be noted that, in the present application, the time between the target charging pile and the destination may also be calculated in the above manner, that is, the time between the target charging pile and the destination is divided into a non-horizontal section and a horizontal section, then the unit energy consumption is calculated according to the two sections, and finally, the total energy consumption between the target charging pile and the destination is obtained.
It should be understood that, although the steps in the flowcharts related to the embodiments as described above are sequentially displayed as indicated by arrows, the steps are not necessarily performed sequentially as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a part of the steps in the flowcharts related to the embodiments described above may include multiple steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, and the execution order of the steps or stages is not necessarily sequential, but may be rotated or alternated with other steps or at least a part of the steps or stages in other steps.
Based on the same inventive concept, the embodiment of the application also provides an electric vehicle ordered charging scheduling device for realizing the electric vehicle ordered charging scheduling method. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the method, so that specific limitations in one or more embodiments of the ordered charging scheduling device for electric vehicles provided below can be referred to the limitations on the ordered charging scheduling method for electric vehicles, and are not described herein again.
In one embodiment, as shown in fig. 3, there is provided an orderly charging scheduling device for an electric vehicle, including:
the first obtaining module 310 is configured to obtain an initial remaining power, a driving route, and unit driving energy consumption of the electric vehicle, and determine a position of each charging station within a preset range of the driving route according to the driving route;
a first time obtaining module 320, configured to obtain a first time for waiting for a traffic light according to the driving route;
a second obtaining module 330, configured to obtain, according to the driving route and the unit driving energy consumption, total energy consumption and driving time of the electric vehicle driving to a target charging station, where the target charging station is any charging station within a preset range of the driving route;
a third obtaining module 340, configured to obtain a charging time of the electric vehicle according to the initial remaining power and the total energy consumption;
a second time obtaining module 350, configured to obtain a second time according to the target charging station location and a destination in the driving route;
a position determining module 360, configured to obtain a total time according to the first time, the driving time, the charging time, and the second time, and obtain a position of the target charging station with the minimum total time as a target;
a planning module 370, configured to perform charging planning according to the location of the charging station.
In one embodiment, the position determining module 360 is further configured to:
obtaining the waiting charging time of the target charging station;
and obtaining the total time according to the first time, the driving time, the waiting charging time, the charging time and the second time, and obtaining the position of the target charging station by taking the minimum total time as a target.
In one embodiment, the first obtaining module 310 is further configured to:
acquiring the battery capacity and the electric quantity of the electric automobile in a full-power state and the currently used battery capacity;
and obtaining the initial residual electric quantity of the electric automobile according to the battery capacity and the electric quantity of the electric automobile in the full-power state and the currently used battery capacity.
In one embodiment, the second obtaining module 330 is configured to:
obtaining the congestion degree of each road section in the driving route according to the driving route;
and acquiring unit driving energy consumption of each road section according to the congestion degree.
In one embodiment, the driving route includes a horizontal section and a non-horizontal section, and the second obtaining module 330 is configured to:
acquiring first unit driving energy consumption of the horizontal road section according to the congestion degree of the horizontal road section;
and acquiring the second unit driving energy consumption of the non-horizontal road section according to the congestion degree of the non-horizontal road section.
In one embodiment, the second obtaining module 330 is configured to:
determining a first distance of a horizontal road segment and a second distance of a non-horizontal road segment in the driving route;
obtaining first energy consumption of the horizontal road section according to the first distance and the first unit driving energy consumption;
obtaining second energy consumption of the non-horizontal road section according to the second distance and the second unit driving energy consumption;
and obtaining the total energy consumption of the electric vehicle running to a target charging station according to the first energy consumption and the second energy consumption.
All or part of each module in the electric vehicle ordered charging scheduling device can be realized through software, hardware and combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, an electric vehicle is provided, and the internal structure of the electric vehicle can be as shown in fig. 4. The electric vehicle includes a processor, a memory, and a network interface connected by a system bus. Wherein, the processor of the electric automobile is used for providing calculation and control capability. The memory of the electric vehicle comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The database of the electric vehicle is used for storing data such as the position of the charging station, the remaining capacity of the electric vehicle, the driving route and the like. The network interface of the electric automobile is used for being connected and communicated with the server through a network. The computer program is executed by a processor to implement a method of charge planning for an electric vehicle.
Those skilled in the art will appreciate that the configuration shown in fig. 4 is a block diagram of only a portion of the configuration associated with the present application and does not constitute a limitation on the electric vehicle to which the present application is applied, and that a particular electric vehicle may include more or less components than those shown, or combine certain components, or have a different arrangement of components.
In one embodiment, an electric vehicle is provided, comprising a memory and a processor, the memory having a computer program stored therein, the processor implementing the following steps when executing the computer program:
acquiring initial residual electric quantity, a driving route and unit driving energy consumption of the electric automobile, and determining the position of each charging station in a preset range of the driving route according to the driving route;
obtaining first time for waiting for traffic lights according to the driving route;
according to the running route and the unit running energy consumption, obtaining total energy consumption and running time of the electric vehicle running to each charging station;
obtaining the charging time of the electric automobile according to the initial residual electric quantity and the total energy consumption;
obtaining second time according to the position of each charging station and the destination in the driving route;
according to the first time, the driving time, the charging time and the second time, obtaining total time corresponding to each charging station, and selecting the charging station with the minimum total time as a target charging station;
and performing charging planning according to the position of the target charging station.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
obtaining the waiting charging time of the target charging station;
and obtaining the total time according to the first time, the driving time, the waiting charging time, the charging time and the second time, and obtaining the position of the target charging station by taking the minimum total time as a target.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
acquiring the battery capacity and the electric quantity of the electric automobile in a full-power state and the currently used battery capacity;
and obtaining the initial residual electric quantity of the electric automobile according to the battery capacity and the electric quantity of the electric automobile in the full-power state and the currently used battery capacity.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
obtaining the congestion degree of each road section in the driving route according to the driving route;
and acquiring unit driving energy consumption of each road section according to the congestion degree.
In one embodiment, the processor when executing the computer program further performs the steps of:
acquiring first unit driving energy consumption of the horizontal road section according to the congestion degree of the horizontal road section;
and acquiring the second unit driving energy consumption of the non-horizontal road section according to the congestion degree of the non-horizontal road section.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
determining a first distance of a horizontal road segment and a second distance of a non-horizontal road segment in the driving route;
obtaining first energy consumption of the horizontal road section according to the first distance and the first unit driving energy consumption;
obtaining second energy consumption of the non-horizontal road section according to the second distance and the second unit driving energy consumption;
and obtaining the total energy consumption of the electric vehicle when the electric vehicle runs to a target charging station according to the first energy consumption and the second energy consumption.
In one embodiment, a computer-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the steps of:
acquiring initial residual electric quantity, a driving route and unit driving energy consumption of the electric automobile, and determining the position of each charging station in a preset range of the driving route according to the driving route;
obtaining first time for waiting for traffic lights according to the driving route;
obtaining total energy consumption and running time of the electric vehicle running to each charging station according to the running route and the unit running energy consumption;
obtaining the charging time of the electric automobile according to the initial residual electric quantity and the total energy consumption;
obtaining second time according to the position of each charging station and the destination in the driving route;
according to the first time, the driving time, the charging time and the second time, obtaining total time corresponding to each charging station, and selecting the charging station with the minimum total time as a target charging station;
and performing charging planning according to the position of the target charging station.
In one embodiment, the computer program when executed by the processor further performs the steps of:
obtaining the waiting charging time of the target charging station;
and obtaining the total time according to the first time, the driving time, the waiting charging time, the charging time and the second time, and obtaining the position of the target charging station by taking the minimum total time as a target.
In one embodiment, the computer program when executed by the processor further performs the steps of:
acquiring the battery capacity and the electric quantity of the electric automobile in a full-electricity state and the currently used battery capacity;
and obtaining the initial residual electric quantity of the electric automobile according to the battery capacity and the electric quantity of the electric automobile in the full-power state and the currently used battery capacity.
In one embodiment, the computer program when executed by the processor further performs the steps of:
obtaining the congestion degree of each road section in the driving route according to the driving route;
and acquiring unit driving energy consumption of each road section according to the congestion degree.
In one embodiment, the computer program when executed by the processor further performs the steps of:
acquiring first unit driving energy consumption of the horizontal road section according to the congestion degree of the horizontal road section;
and acquiring the second unit driving energy consumption of the non-horizontal road section according to the congestion degree of the non-horizontal road section.
In one embodiment, the computer program when executed by the processor further performs the steps of:
determining a first distance of a horizontal road segment and a second distance of a non-horizontal road segment in the driving route;
obtaining first energy consumption of the horizontal road section according to the first distance and the first unit driving energy consumption;
obtaining second energy consumption of the non-horizontal road section according to the second distance and the second unit driving energy consumption;
and obtaining the total energy consumption of the electric vehicle running to a target charging station according to the first energy consumption and the second energy consumption.
In one embodiment, a computer program product is provided, comprising a computer program which, when executed by a processor, performs the steps of:
acquiring initial residual electric quantity, a driving route and unit driving energy consumption of the electric automobile, and determining the position of each charging station in a preset range of the driving route according to the driving route;
obtaining first time for waiting for traffic lights according to the driving route;
obtaining total energy consumption and running time of the electric vehicle running to each charging station according to the running route and the unit running energy consumption;
obtaining the charging time of the electric automobile according to the initial residual electric quantity and the total energy consumption;
obtaining a second time according to the positions of the charging stations and the destination in the driving route;
according to the first time, the driving time, the charging time and the second time, obtaining total time corresponding to each charging station, and selecting the charging station with the minimum total time as a target charging station;
and performing charging planning according to the position of the target charging station.
In one embodiment, the computer program when executed by the processor further performs the steps of:
obtaining the waiting charging time of the target charging station;
and obtaining the total time according to the first time, the driving time, the waiting charging time, the charging time and the second time, and obtaining the position of the target charging station by taking the minimum total time as a target.
In one embodiment, the computer program when executed by the processor further performs the steps of:
acquiring the battery capacity and the electric quantity of the electric automobile in a full-power state and the currently used battery capacity;
and obtaining the initial residual electric quantity of the electric automobile according to the battery capacity and the electric quantity of the electric automobile in the full-power state and the currently used battery capacity.
In one embodiment, the computer program when executed by the processor further performs the steps of:
obtaining the congestion degree of each road section in the driving route according to the driving route;
and acquiring unit driving energy consumption of each road section according to the congestion degree.
In one embodiment, the computer program when executed by the processor further performs the steps of:
acquiring first unit driving energy consumption of the horizontal road section according to the congestion degree of the horizontal road section;
and acquiring the second unit driving energy consumption of the non-horizontal road section according to the congestion degree of the non-horizontal road section.
In one embodiment, the computer program when executed by the processor further performs the steps of:
determining a first distance of a horizontal road segment and a second distance of a non-horizontal road segment in the driving route;
obtaining first energy consumption of the horizontal road section according to the first distance and the first unit driving energy consumption;
obtaining second energy consumption of the non-horizontal road section according to the second distance and the second unit driving energy consumption;
and obtaining the total energy consumption of the electric vehicle when the electric vehicle runs to a target charging station according to the first energy consumption and the second energy consumption.
It should be noted that, the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, presented data, etc.) referred to in the present application are information and data authorized by the user or sufficiently authorized by each party.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above may be implemented by hardware instructions of a computer program, which may be stored in a non-volatile computer-readable storage medium, and when executed, may include the processes of the embodiments of the methods described above. Any reference to memory, database, or other medium used in the embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high-density embedded nonvolatile Memory, resistive Random Access Memory (ReRAM), magnetic Random Access Memory (MRAM), ferroelectric Random Access Memory (FRAM), phase Change Memory (PCM), graphene Memory, and the like. Volatile Memory can include Random Access Memory (RAM), external cache Memory, and the like. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), among others. The databases referred to in various embodiments provided herein may include at least one of relational and non-relational databases. The non-relational database may include, but is not limited to, a block chain based distributed database, and the like. The processors referred to in the various embodiments provided herein may be, without limitation, general purpose processors, central processing units, graphics processors, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, or the like.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is specific and detailed, but not construed as limiting the scope of the present application. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, and these are all within the scope of protection of the present application. Therefore, the protection scope of the present application shall be subject to the appended claims.
Claims (10)
1. A charge planning method for an electric vehicle, the method comprising:
acquiring initial residual electric quantity, a driving route and unit driving energy consumption of the electric automobile, and determining the position of each charging station in a preset range of the driving route according to the driving route;
obtaining first time for waiting for traffic lights according to the driving route;
obtaining total energy consumption and running time of the electric vehicle running to each charging station according to the running route and the unit running energy consumption;
obtaining the charging time of the electric automobile according to the initial residual electric quantity and the total energy consumption;
obtaining a second time according to the positions of the charging stations and the destination in the driving route;
according to the first time, the driving time, the charging time and the second time, obtaining total time corresponding to each charging station, and selecting the charging station with the minimum total time as a target charging station;
and performing charging planning according to the position of the target charging station.
2. The method of claim 1, wherein obtaining a total time based on the first time, the travel time, the charging time, and the second time, and obtaining the location of the target charging station with the total time being a minimum comprises:
obtaining the waiting charging time of the target charging station;
and obtaining the total time according to the first time, the driving time, the waiting charging time, the charging time and the second time, and obtaining the position of the target charging station by taking the minimum total time as a target.
3. The method of claim 1, wherein the obtaining of the initial remaining capacity of the electric vehicle comprises:
acquiring the battery capacity and the electric quantity of the electric automobile in a full-power state and the currently used battery capacity;
and obtaining the initial residual electric quantity of the electric automobile according to the battery capacity and electric quantity of the electric automobile in the full-charge state and the currently used battery capacity.
4. The method of claim 1, wherein the obtaining the unit driving energy consumption of the electric vehicle comprises:
obtaining the congestion degree of each road section in the driving route according to the driving route;
and acquiring unit driving energy consumption of each road section according to the congestion degree.
5. The method according to claim 4, wherein the driving route comprises a horizontal section and a non-horizontal section, and the obtaining of the unit driving energy consumption of each section according to the congestion degree comprises:
acquiring first unit driving energy consumption of the horizontal road section according to the congestion degree of the horizontal road section;
and acquiring the second unit driving energy consumption of the non-horizontal road section according to the congestion degree of the non-horizontal road section.
6. The method of claim 5, wherein obtaining the total energy consumption of the electric vehicle traveling to the target charging station according to the travel route and the unit travel energy consumption comprises:
determining a first distance of a horizontal road segment and a second distance of a non-horizontal road segment in the driving route;
obtaining first energy consumption of the horizontal road section according to the first distance and the first unit driving energy consumption;
obtaining second energy consumption of the non-horizontal road section according to the second distance and the second unit driving energy consumption;
and obtaining the total energy consumption of the electric vehicle when the electric vehicle runs to a target charging station according to the first energy consumption and the second energy consumption.
7. The ordered charging scheduling device for the electric automobile is characterized by comprising:
the first acquisition module is used for acquiring the initial residual electric quantity, the driving route and the unit driving energy consumption of the electric automobile and determining the position of each charging station in the preset range of the driving route according to the driving route;
the first time obtaining module is used for obtaining first time for waiting for traffic lights according to the driving route;
the second acquisition module is used for acquiring total energy consumption and running time of the electric vehicle running to each charging station according to the running route and the unit running energy consumption;
the third acquisition module is used for acquiring the charging time of the electric automobile according to the initial residual electric quantity and the total energy consumption;
a second time obtaining module, configured to obtain second time according to the location of each charging station and a destination in the driving route;
the position determining module is used for obtaining the total time corresponding to each charging station according to the first time, the driving time, the charging time and the second time, and selecting the charging station with the minimum total time as a target charging station;
and the planning module is used for carrying out charging planning according to the position of the target charging station.
8. An electric vehicle comprising a memory and a processor, the memory storing a computer program, characterized in that the processor realizes the steps of the method of any one of claims 1 to 6 when executing the computer program.
9. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 6.
10. A computer program product comprising a computer program, characterized in that the computer program, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 6.
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| CN202211595030.2A CN115936281A (en) | 2022-12-13 | 2022-12-13 | Charging planning method and device for electric vehicle, electric vehicle and storage medium |
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| CN202211595030.2A CN115936281A (en) | 2022-12-13 | 2022-12-13 | Charging planning method and device for electric vehicle, electric vehicle and storage medium |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117076761A (en) * | 2023-06-08 | 2023-11-17 | 飞哥立桩(北京)新能源科技有限公司 | Intelligent management method and system for charging pile of new energy automobile |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117076761A (en) * | 2023-06-08 | 2023-11-17 | 飞哥立桩(北京)新能源科技有限公司 | Intelligent management method and system for charging pile of new energy automobile |
| CN117076761B (en) * | 2023-06-08 | 2024-03-26 | 飞哥立桩(北京)新能源科技有限公司 | Intelligent management method and system for charging pile of new energy automobile |
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