CN115930983A - Vehicle charging route planning method and related equipment - Google Patents
Vehicle charging route planning method and related equipment Download PDFInfo
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- CN115930983A CN115930983A CN202211540695.3A CN202211540695A CN115930983A CN 115930983 A CN115930983 A CN 115930983A CN 202211540695 A CN202211540695 A CN 202211540695A CN 115930983 A CN115930983 A CN 115930983A
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Abstract
The invention discloses a vehicle charging route planning method and related equipment, and mainly aims to solve the problem that a user only considers the residual travelable distance and residual electric quantity prompted by a current vehicle, and possibly causes misjudgment of charging station or charging path selection, so that the vehicle cannot be charged smoothly. The method comprises the following steps: acquiring the current residual capacity of the new energy vehicle; acquiring the position information of the charging station within a preset range under the condition that the current residual capacity is less than or equal to the preset residual capacity; generating a plurality of navigation paths based on the position information of the charging station; and acquiring illumination information in each navigation path, and determining a target navigation path in the plurality of navigation paths based on the illumination information.
Description
Technical Field
The invention relates to the technical field of vehicles, in particular to a vehicle charging route planning method and related equipment.
Background
With the widespread use of new energy vehicles, the demand of users for charging stations is increasing. Under the condition that the vehicle is low in electricity, the vehicle often prompts a user of the remaining distance that the user can travel. However, in the case that the new energy vehicle has low electric quantity and needs to be charged, the user may want the remaining electric quantity to support a longer driving distance, which brings more possibilities for smooth charging or selecting a charging station. And many environmental factors can cause uncertain factors of electric quantity accelerated consumption, if a user only considers the remaining drivable distance and the remaining electric quantity prompted by the current vehicle, misjudgment of charging station or charging path selection is likely to be caused, and the vehicle cannot be charged smoothly.
Disclosure of Invention
In view of the above problems, the present invention provides a vehicle charging route planning method and related devices, and mainly aims to solve the problem that a user only considers the remaining travelable distance and the remaining electric quantity presented by the current vehicle, which is likely to cause erroneous judgment of selection of a charging station or a charging route, and thus the vehicle cannot be charged smoothly.
In order to solve at least one technical problem, in a first aspect, the present invention provides a vehicle charging route planning method, including:
acquiring the current residual electric quantity of the new energy vehicle;
acquiring the position information of the charging station in a preset range under the condition that the current residual electric quantity is less than or equal to the preset residual electric quantity;
generating a plurality of navigation paths based on the position information of the charging station;
and acquiring illumination information in each navigation path, and determining a target navigation path in the plurality of navigation paths based on the illumination information.
Optionally, the obtaining the illumination information in each navigation path includes:
obtaining the current time and road side fixed shielding information in each navigation path;
and calculating the illumination position information and the illumination duration of the vehicle in each navigation path based on the current time and the road side fixed shielding information in each navigation path.
Optionally, the illumination information includes vehicle illumination position information and illumination duration, and the acquiring the illumination information in each navigation path includes:
obtaining the current time and road side fixed shielding information in each navigation path;
and predicting the illumination position information and the illumination duration of the vehicle in each navigation path in the driving process of the vehicle based on the current time and the road side fixed shielding information in each navigation path.
Optionally, the determining a target navigation path in the plurality of navigation paths based on the illumination information includes:
and under the condition that the current ambient temperature is lower than the preset temperature, selecting the navigation path with the illumination part of the vehicle as the battery part of the vehicle and the longest illumination time as the target navigation path.
Optionally, the determining a target navigation path in the plurality of navigation paths based on the illumination information includes:
and under the condition that the warm air is started in the current vehicle cab, selecting the navigation path with the illumination part of the vehicle as the vehicle cab part and the longest illumination time as the target navigation path.
Optionally, the determining a target navigation path in the plurality of navigation paths based on the illumination information includes:
and under the condition that cold air is started in the current vehicle cab, selecting the navigation path with the shortest illumination time as a target navigation path.
Optionally, the determining a target navigation path in the plurality of navigation paths based on the congestion degree and the ramp information of each navigation path includes:
and under the condition that cold air is started in the current vehicle cab, selecting the navigation path with the illumination part of the vehicle as the target navigation path and the illumination time length of the vehicle cab part as the shortest.
In a second aspect, an embodiment of the present invention further provides a vehicle charging route planning apparatus, including:
the first acquisition unit is used for acquiring the current residual electric quantity of the new energy vehicle;
the second obtaining unit is used for obtaining the position information of the charging station within a preset range under the condition that the current residual electric quantity is less than or equal to the preset residual electric quantity;
a generation unit configured to generate a plurality of navigation paths based on the position information of the charging station;
and the determining unit is used for acquiring the illumination information in each navigation path and determining a target navigation path in the plurality of navigation paths based on the illumination information.
In order to achieve the above object, according to a third aspect of the present invention, there is provided a computer-readable storage medium including a stored program, wherein the above vehicle charging trip planning method is implemented when the program is executed by a processor.
In order to achieve the above object, according to a fourth aspect of the present invention, there is provided an electronic device comprising at least one processor, and at least one memory connected to the processor; the processor is used for calling the program instructions in the memory and executing the vehicle charging route planning method.
By means of the technical scheme, the vehicle charging route planning method provided by the invention obtains the current residual electric quantity of the new energy vehicle; acquiring the position information of the charging station in a preset range under the condition that the current residual electric quantity is less than or equal to the preset residual electric quantity; generating a plurality of navigation paths based on the position information of the charging station; and acquiring illumination information in each navigation path, and determining a target navigation path in the plurality of navigation paths based on the illumination information. Therefore, under the condition that the current residual capacity is smaller than or equal to the preset residual capacity, a plurality of navigation paths are generated. Due to the fact that the direction of each path is different, the shielding conditions of buildings and the like on two sides of each path are different, the time and the position of the vehicle which is directly irradiated by sunlight during running in each navigation path are greatly different, and the local temperature can obviously change when the vehicle receives the sunlight due to hesitation of the material of the vehicle. Under the premise that the power consumption speeds of the batteries are different in different temperature environments, especially in extreme weather such as overhigh or overlow ambient temperature, the illumination factor greatly influences the distance that the residual power can support the vehicle to run in the process of running of the vehicle on different navigation paths. Therefore, by determining the target navigation path in the plurality of navigation paths based on the illumination information when the current remaining capacity of the vehicle is less than or equal to the preset remaining capacity, the condition that the user wants the remaining capacity to support a longer driving distance can be met, and more possibilities are brought to smooth charging or charging station selection. Under the condition of high-temperature or low-temperature weather, the illumination factor is effectively utilized, and the consumption speed of electric quantity is reduced. The problem that if a user only considers the remaining drivable distance and the remaining electric quantity prompted by the current vehicle, the vehicle cannot be charged smoothly due to the fact that misjudgment of charging station or charging path selection is likely to be caused.
Accordingly, the vehicle charging route planning device, the equipment and the computer readable storage medium provided by the embodiment of the invention also have the technical effects.
The foregoing description is only an overview of the technical solutions of the present invention, and the embodiments of the present invention are described below in order to make the technical means of the present invention more clearly understood and to make the above and other objects, features, and advantages of the present invention more clearly understandable.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
fig. 1 is a schematic flow chart illustrating a vehicle charging route planning method according to an embodiment of the present invention;
FIG. 2 is a block diagram illustrating a schematic configuration of a vehicle charge route planning apparatus according to an embodiment of the present invention;
fig. 3 is a block diagram illustrating a schematic composition of an electronic device for vehicle charge route planning according to an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the invention are shown in the drawings, it should be understood that the invention may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.
In order to solve the problem that a charging user only considers the remaining drivable distance and the remaining electric quantity prompted by the current vehicle, and possibly causes misjudgment of charging station or charging path selection, so that the vehicle cannot be charged smoothly, an embodiment of the invention provides a vehicle charging route planning method, which comprises the following steps of:
s110, acquiring the current residual electric quantity of the new energy vehicle;
for example, the current remaining capacity of the new energy vehicle may be understood as the current remaining capacity of a power battery of the new energy vehicle, and the power battery may be understood as a battery for supplying power to the vehicle in the new energy vehicle. The running of the vehicle requires the power battery of the vehicle to provide power for the vehicle.
S120, acquiring the position information of the charging station in a preset range under the condition that the current residual capacity is less than or equal to the preset residual capacity;
for example, the preset power may be twenty percent of power of the power battery, and the power of the power battery is ten percent of power, which is not limited herein. Of course, the preset electric quantity can be set differently according to the type of the vehicle, the type of the battery or the region where the vehicle is located. For example, in the case where the vehicle is a heavy vehicle, the preset amount of power may be set higher, such as thirty percent. Or in consideration of the density of charging stations in the area where the vehicle is located, the preset amount of power may be set relatively low in an area where the density of charging stations is high, and may be set relatively high in an area where the density of charging stations is low.
S130, generating a plurality of navigation paths based on the position information of the charging station;
for example, multiple navigation paths may be generated based on one charging station. It is also possible to provide more choices for the user based on a plurality of charging stations, each generating a plurality of navigation paths.
S140, obtaining illumination information in each navigation path, and determining a target navigation path in the navigation paths based on the illumination information.
Illustratively, the illumination information is sunlight illumination information, at least one straight road segment exists in each navigation path, and the sunlight illumination information is obtained based on an illumination condition of each straight road segment existing in each navigation path. For example, the navigation path a includes a straight road segment a, a straight road segment b, and a straight road segment c, and the illumination conditions associated with the straight road segment a, the straight road segment b, and the straight road segment c are different. The sunlight illumination information of the navigation path a is obtained based on the illumination conditions of the straight road sections a, b and c.
By means of the technical scheme, the vehicle charging route planning method provided by the invention obtains the current residual electric quantity of the new energy vehicle; acquiring the position information of the charging station in a preset range under the condition that the current residual electric quantity is less than or equal to the preset residual electric quantity; generating a plurality of navigation paths based on the position information of the charging station; and acquiring illumination information in each navigation path, and determining a target navigation path in the plurality of navigation paths based on the illumination information. Therefore, under the condition that the current residual capacity is less than or equal to the preset residual capacity, a plurality of navigation paths are generated. Due to the fact that the direction of each path is different, the shielding conditions of buildings and the like on two sides of each path are different, the time and the position of the vehicle which is directly irradiated by sunlight during running in each navigation path are greatly different, and the local temperature can obviously change when the vehicle receives the sunlight due to hesitation of the material of the vehicle. Under the condition that the power consumption speeds of the batteries are different in different temperature environments, especially under extreme weather conditions such as overhigh or overlow ambient temperature, the illumination factors greatly influence the distance that the residual power of the vehicle can support the vehicle to run in the process of running on different navigation paths. Therefore, by determining the target navigation path in the plurality of navigation paths based on the illumination information when the current remaining capacity of the vehicle is less than or equal to the preset remaining capacity, the condition that the user wants the remaining capacity to support a longer driving distance can be met, and more possibilities are brought to smooth charging or charging station selection. Under the condition of high-temperature or low-temperature weather, the illumination factor is effectively utilized, and the consumption speed of electric quantity is reduced. The problem that if a user only considers the remaining drivable distance and the remaining electric quantity prompted by the current vehicle, misjudgment of charging station or charging path selection is likely to be caused, and the vehicle cannot be charged smoothly is solved.
In one embodiment, the acquiring the illumination information in each navigation path includes:
obtaining the current time and road side fixed shielding information in each navigation path;
and calculating the illumination position information and the illumination duration of the vehicle in each navigation path based on the current time and the road side fixed shielding information in each navigation path.
For example, the vehicle illumination location information may be a vehicle battery compartment location or a vehicle driving portion, and in some examples, may further include incidence angle information of illumination. The roadside fixed blocking information may include a height of the roadside fixed blocking object.
For example, the illumination direction at the current time may be determined, and the direction of the road segment in each navigation path is also determined, so that the roadside fixed occlusion information in each navigation path may be obtained. For example, under the condition that the road section a is not blocked, when the vehicle runs on the road section a, the right side of the vehicle always receives the vehicle illumination, and the illumination time length when the vehicle runs on the road section a can be preliminarily predicted by combining the length of the road section a. Then, under the condition that the roadside fixed occlusion information is considered, the length of the road section a actually receiving illumination can be calculated by excluding the roadside fixed occlusion length, so that the illumination duration when the vehicle runs on the road section a can be predicted more accurately.
For example, since the preset range is generally a small distance range, the position change of the sun during the driving of the vehicle may not be considered.
In one embodiment, the acquiring the illumination information in each navigation path includes:
obtaining the current time and road side fixed shielding information in each navigation path;
and predicting the illumination position information and the illumination duration of the vehicle in each navigation path in the driving process of the vehicle based on the current time and the road side fixed shielding information in each navigation path.
For example, because the illumination position information and the illumination duration of the vehicle in each navigation path are predicted based on the current time and the road side fixed shielding information in each navigation path during the driving of the vehicle, the change of the sun position of the vehicle during the driving is considered. The accuracy of the obtained vehicle illumination position information and the illumination duration in each navigation path can be improved.
In one embodiment, the determining a target navigation path among the plurality of navigation paths based on the illumination information comprises:
and under the condition that the current ambient temperature is lower than the preset temperature, selecting the navigation path with the illumination part of the vehicle as the battery part of the vehicle and the longest illumination time as the target navigation path.
In one embodiment, the determining a target navigation path among the plurality of navigation paths based on the illumination information comprises:
and under the condition that the warm air is started in the current vehicle cab, selecting the navigation path with the illumination part of the vehicle as the vehicle cab part and the longest illumination time as the target navigation path.
For example, when warm air is turned on in the current vehicle cab, the navigation path with the illumination position of the vehicle as the vehicle cab position and the longest illumination time is selected as the target navigation path. The driving comfort of the user can be prevented from being reduced while power consumption is further reduced.
In one embodiment, the determining a target navigation path among the plurality of navigation paths based on the illumination information comprises:
and under the condition that cold air is started in the current vehicle cab, selecting the navigation path with the shortest illumination time as a target navigation path.
Illustratively, under the condition that cold air is started in a current vehicle cab, the navigation path with the shortest illumination time is selected as the target navigation path. The driving comfort of the user can be prevented from being reduced while power consumption is further reduced.
In one embodiment, the determining a target navigation path in the plurality of navigation paths based on the congestion degree and the ramp information of each navigation path includes:
and under the condition that cold air is started in the current vehicle cab, selecting the navigation path with the illumination part of the vehicle as the target navigation path and the illumination time length of the vehicle cab part as the shortest.
Further, as an implementation of the method shown in fig. 1, an embodiment of the present invention further provides a vehicle charging route planning apparatus, which is used for implementing the method shown in fig. 1. The embodiment of the apparatus corresponds to the embodiment of the method, and for convenience of reading, details in the embodiment of the apparatus are not repeated one by one, but it should be clear that the apparatus in the embodiment can correspondingly implement all the contents in the embodiment of the method. As shown in fig. 2, the apparatus includes: a first acquisition unit 210, a second acquisition unit 220, a generation unit 230, and a determination unit 240, wherein
A first obtaining unit 210, configured to obtain a current remaining power of the new energy vehicle;
a second obtaining unit 220, configured to obtain location information of a charging station within a preset range when the current remaining power is less than or equal to a preset remaining power;
a generating unit 230 for generating a plurality of navigation paths based on the position information of the charging station;
a determining unit 240, configured to obtain illumination information in each navigation path, and determine a target navigation path in the plurality of navigation paths based on the illumination information.
By means of the technical scheme, the vehicle charging journey planning device provided by the invention obtains the current residual electric quantity of the new energy vehicle; acquiring the position information of the charging station in a preset range under the condition that the current residual electric quantity is less than or equal to the preset residual electric quantity; generating a plurality of navigation paths based on the position information of the charging station; and acquiring illumination information in each navigation path, and determining a target navigation path in the plurality of navigation paths based on the illumination information. Therefore, under the condition that the current residual capacity is smaller than or equal to the preset residual capacity, a plurality of navigation paths are generated. Due to the fact that the direction of each road section is different, the shielding conditions of buildings and the like on two sides of each road section are different, the time and the position of the vehicle which runs in each navigation path and is directly irradiated by sunlight are greatly different, and the local temperature can obviously change when the vehicle receives the sunlight due to hesitation of the material of the vehicle. Under the condition that the power consumption speeds of the batteries are different in different temperature environments, especially under extreme weather conditions such as overhigh or overlow ambient temperature, the illumination factors greatly influence the distance that the residual power of the vehicle can support the vehicle to run in the process of running on different navigation paths. Therefore, by determining the target navigation path in the plurality of navigation paths based on the illumination information when the current remaining capacity of the vehicle is less than or equal to the preset remaining capacity, the condition that the user expects that the remaining capacity can support a longer driving distance can be met, and more possibility is brought to smooth charging or charging station selection. Under the condition of high-temperature or low-temperature weather, the illumination factor is effectively utilized, and the consumption speed of electric quantity is reduced. The problem that if a user only considers the remaining drivable distance and the remaining electric quantity prompted by the current vehicle, the vehicle cannot be charged smoothly due to the fact that misjudgment of charging station or charging path selection is likely to be caused.
The processor comprises a kernel, and the kernel calls the corresponding program unit from the memory. The kernel can be set to be one or more than one, the vehicle charging route planning method is realized by adjusting kernel parameters, and the problem that the vehicle cannot be charged smoothly due to the fact that a user only considers the residual travelable distance and the residual electric quantity prompted by the current vehicle and possibly causes misjudgment of charging station or charging path selection is solved.
An embodiment of the present invention provides a computer-readable storage medium, where the computer-readable storage medium includes a stored program, and the program, when executed by a processor, implements the vehicle charging route planning method.
The embodiment of the invention provides a processor, which is used for running a program, wherein the vehicle charging route planning method is executed when the program runs.
The embodiment of the invention provides electronic equipment, which comprises at least one processor and at least one memory connected with the processor; the processor is used for calling the program instructions in the memory and executing the vehicle charging route planning method.
An embodiment of the present invention provides an electronic device 30, as shown in fig. 3, the electronic device includes at least one processor 301, at least one memory 302 connected to the processor, and a bus 303; wherein, the processor 301 and the memory 302 complete the communication with each other through the bus 303; processor 301 is to invoke program instructions in memory:
acquiring the current residual electric quantity of the new energy vehicle;
acquiring the position information of the charging station in a preset range under the condition that the current residual electric quantity is less than or equal to the preset residual electric quantity;
generating a plurality of navigation paths based on the position information of the charging station;
and acquiring illumination information in each navigation path, and determining a target navigation path in the plurality of navigation paths based on the illumination information.
Optionally, the illumination information includes vehicle illumination position information and illumination duration, and the acquiring the illumination information in each navigation path includes:
obtaining the current time and road side fixed shielding information in each navigation path;
and calculating the illumination position information and the illumination duration of the vehicle in each navigation path based on the current time and the road side fixed shielding information in each navigation path.
Optionally, the obtaining the illumination information in each navigation path includes:
obtaining the current time and road side fixed shielding information in each navigation path;
and predicting the illumination position information and the illumination duration of the vehicle in each navigation path in the driving process of the vehicle based on the current time and the road side fixed shielding information in each navigation path.
Optionally, the determining a target navigation path in the plurality of navigation paths based on the illumination information includes:
and under the condition that the current ambient temperature is lower than the preset temperature, selecting the navigation path with the illumination part of the vehicle as the battery part of the vehicle and the longest illumination time as the target navigation path.
Optionally, the determining a target navigation path in the plurality of navigation paths based on the illumination information includes:
and under the condition that the warm air is started in the current vehicle cab, selecting the navigation path with the illumination part of the vehicle as the vehicle cab part and the longest illumination time as the target navigation path.
Optionally, the determining a target navigation path in the plurality of navigation paths based on the illumination information includes:
and under the condition that cold air is started in the current vehicle cab, selecting the navigation path with the shortest illumination time as a target navigation path.
Optionally, the determining a target navigation path in the plurality of navigation paths based on the congestion degree and the ramp information of each navigation path includes:
and under the condition that cold air is started in the current vehicle cab, selecting the navigation path with the illumination part of the vehicle as the target navigation path and the illumination time length of the vehicle cab part as the shortest.
So as to execute the vehicle charging route planning method.
The present application further provides a computer program product adapted to perform a program for initializing the following method steps when executed on a flow management electronic device:
acquiring the current residual electric quantity of the new energy vehicle;
acquiring the position information of the charging station within a preset range under the condition that the current residual capacity is less than or equal to the preset residual capacity;
generating a plurality of navigation paths based on the position information of the charging station;
and acquiring illumination information in each navigation path, and determining a target navigation path in the plurality of navigation paths based on the illumination information.
Optionally, the illumination information includes vehicle illumination position information and illumination duration, and the acquiring the illumination information in each navigation path includes:
obtaining the current time and road side fixed shielding information in each navigation path;
and calculating the information of the illumination position of the vehicle and the illumination duration in each navigation path based on the current time and the road side fixed shielding information in each navigation path.
Optionally, the illumination information includes vehicle illumination position information and illumination duration, and the acquiring the illumination information in each navigation path includes:
obtaining the current time and road side fixed shielding information in each navigation path;
and predicting the illumination position information and the illumination duration of the vehicle in each navigation path in the driving process of the vehicle based on the current time and the road side fixed shielding information in each navigation path.
Optionally, the determining a target navigation path in the plurality of navigation paths based on the illumination information includes:
and under the condition that the current ambient temperature is lower than the preset temperature, selecting the navigation path with the illumination part of the vehicle as the battery part of the vehicle and the longest illumination time as the target navigation path.
Optionally, the determining a target navigation path in the plurality of navigation paths based on the illumination information includes:
and under the condition that the warm air is started in the current vehicle cab, selecting the navigation path with the illumination part of the vehicle as the vehicle cab part and the longest illumination time as the target navigation path.
Optionally, the determining a target navigation path in the plurality of navigation paths based on the illumination information includes:
and under the condition that cold air is started in the current vehicle cab, selecting the navigation path with the shortest illumination time as a target navigation path.
Optionally, the determining a target navigation path in the plurality of navigation paths based on the congestion degree and the ramp information of each navigation path includes:
and under the condition that cold air is started in the current vehicle cab, selecting the navigation path with the illumination part of the vehicle as the target navigation path and the illumination time length of the vehicle cab part as the shortest.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, electronic devices (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable flow management electronic device to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable flow management electronic device, create means for implementing the functions specified in the flow diagram flow or flows and/or block diagram block or blocks.
In a typical configuration, an electronic device includes one or more processors (CPUs), memory, and a bus. The electronic device may also include input/output interfaces, network interfaces, and the like.
The memory may include volatile memory in a computer readable medium, random Access Memory (RAM) and/or nonvolatile memory such as Read Only Memory (ROM) or flash memory (flash RAM), and the memory includes at least one memory chip. The memory is an example of a computer-readable medium.
Computer-readable media, including both permanent and non-permanent, removable and non-removable media, may implement the information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer-readable storage media include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage electronic devices, or any other non-transmission medium that can be used to store information that can be accessed by computing electronic devices. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or electronic device that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or electronic device. Without further limitation, an element defined by the phrase "comprising a … …" does not exclude the presence of another identical element in a process, method, article, or electronic device that comprises the element.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable computer-readable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.
The above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art to which the present application pertains. Any modification, equivalent replacement, improvement or the like made within the spirit and principle of the present application shall be included in the scope of the claims of the present application.
Claims (10)
1. A vehicle charging trip planning method, comprising:
acquiring the current residual capacity of the new energy vehicle;
acquiring the position information of the charging station in a preset range under the condition that the current residual electric quantity is less than or equal to the preset residual electric quantity;
generating a plurality of navigation paths based on the position information of the charging station;
and acquiring illumination information in each navigation path, and determining a target navigation path in the plurality of navigation paths based on the illumination information.
2. The method according to claim 1, wherein the illumination information includes vehicle illumination location information and illumination duration, and the obtaining the illumination information in each navigation path includes:
obtaining the current time and road side fixed shielding information in each navigation path;
and calculating the information of the illumination position of the vehicle and the illumination duration in each navigation path based on the current time and the road side fixed shielding information in each navigation path.
3. The method according to claim 2, wherein the illumination information includes vehicle illumination location information and illumination duration, and the obtaining the illumination information in each navigation path includes:
obtaining the current time and road side fixed shielding information in each navigation path;
and predicting the illumination position information and the illumination duration of the vehicle in each navigation path in the driving process of the vehicle based on the current time and the road side fixed shielding information in each navigation path.
4. The method according to claim 2 or 3, wherein the determining a target navigation path among the plurality of navigation paths based on the illumination information comprises:
and under the condition that the current environment temperature is lower than the preset temperature, selecting a navigation path with the illumination part of the vehicle as a vehicle battery part and the longest illumination time as a target navigation path.
5. The method according to claim 2 or 3, wherein the determining a target navigation path among the plurality of navigation paths based on the illumination information comprises:
and under the condition that the warm air is started in the current vehicle cab, selecting the navigation path with the illumination part of the vehicle as the vehicle cab part and the longest illumination time as the target navigation path.
6. The method according to claim 2 or 3, wherein the determining a target navigation path among the plurality of navigation paths based on the illumination information comprises:
and under the condition that cold air is started in the current vehicle cab, selecting the navigation path with the shortest illumination time as a target navigation path.
7. The method according to claim 6, wherein determining a target navigation path among the plurality of navigation paths based on the congestion level and the ramp information of each navigation path comprises:
and under the condition that cold air is started in the current vehicle cab, selecting the navigation path with the illumination part of the vehicle as the target navigation path and the illumination time length of the vehicle cab part as the shortest.
8. A vehicle charging trip planning apparatus, comprising:
the first obtaining unit is used for obtaining the current residual electric quantity of the new energy vehicle;
the second obtaining unit is used for obtaining the position information of the charging station within a preset range under the condition that the current residual electric quantity is less than or equal to the preset residual electric quantity;
a generation unit configured to generate a plurality of navigation paths based on position information of the charging station;
and the determining unit is used for acquiring the illumination information in each navigation path and determining a target navigation path in the plurality of navigation paths based on the illumination information.
9. A computer-readable storage medium, characterized in that the computer-readable storage medium comprises a stored program, wherein the program, when executed by a processor, implements the vehicle charging trip planning method according to any one of claims 1 to 7.
10. An electronic device, comprising at least one processor, and at least one memory coupled to the processor; wherein the processor is configured to invoke the program instructions in the memory to perform the vehicle charging trip planning method of any one of claims 1 to 7.
Priority Applications (1)
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117277445A (en) * | 2023-11-21 | 2023-12-22 | 国网（北京）新能源汽车服务有限公司 | Self-driving tour area power dispatching system |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117277445A (en) * | 2023-11-21 | 2023-12-22 | 国网（北京）新能源汽车服务有限公司 | Self-driving tour area power dispatching system |
| CN117277445B (en) * | 2023-11-21 | 2024-03-29 | 国网（北京）新能源汽车服务有限公司 | Self-driving tour area power dispatching system |
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