Vehicle charging trip planning method and related devices

Abstract

The application discloses a vehicle charging trip planning method and related equipment, and mainly aims to solve the problem that the user only considers the remaining distance and the remaining power of the current vehicle, which may easily cause misjudgment of the charging station or the charging path selection, and result in the problem that the vehicle cannot be smoothly charged. The method comprises the following steps: acquiring the current remaining power of a new energy vehicle; acquiring the position information of the charging stations in a preset range in the case that the current remaining power is less than or equal to a preset remaining power; generating a plurality of navigation paths based on the position information of the charging stations; 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.

Description

Technical Field

[0001] The present invention relates to the field of vehicle technology, and in particular to a vehicle charging trip planning method and related equipment. Background Art

[0002] With the widespread use of new energy vehicles, users' demand for charging stations is increasing. When a vehicle's battery is low, it often displays the user's remaining driving distance. However, when a new energy vehicle's battery is low and needs to be charged, users often want a longer driving distance, which increases the likelihood of successful charging or selecting a charging station. However, many environmental factors can cause uncertainty in accelerating battery consumption. If users only consider the remaining driving distance and remaining battery level indicated by the vehicle, they may misjudge the charging station or charging route, resulting in a failure to charge the vehicle. Summary of the Invention

[0003] In view of the above problems, the present invention provides a vehicle charging trip planning method and related equipment, the main purpose of which is to solve the problem that users only consider the remaining drivable distance and remaining power prompted by the current vehicle, which is likely to cause misjudgment of the selection of charging stations or charging routes, resulting in the vehicle being unable to charge smoothly.

[0004] To solve at least one of the above technical problems, in a first aspect, the present invention provides a vehicle charging trip planning method, the method comprising:

[0005] Get the current remaining power of new energy vehicles;

[0006] When the current remaining power is less than or equal to a preset remaining power, obtaining location information of charging stations within a preset range;

[0007] generating a plurality of navigation routes based on the location information of the charging station;

[0008] Lighting information in each navigation path is obtained, and a target navigation path is determined among the multiple navigation paths based on the lighting information.

[0009] Optionally, the illumination information includes vehicle illumination location information and illumination duration, and obtaining the illumination information in each navigation path includes:

[0010] Get the roadside fixed obstruction information at the current moment and in each navigation path;

[0011] Based on the current time and the roadside fixed obstruction information in each navigation path, the vehicle lighting location information and lighting duration in each navigation path are calculated.

[0012] Optionally, the illumination information includes vehicle illumination location information and illumination duration, and obtaining the illumination information in each navigation path includes:

[0013] Get the roadside fixed obstruction information at the current moment and in each navigation path;

[0014] Based on the current time and the roadside fixed obstruction information in each navigation path, the vehicle lighting location information and lighting duration in each navigation path are predicted during the vehicle's driving process.

[0015] Optionally, the determining a target navigation path among the multiple navigation paths based on the illumination information includes:

[0016] When the current ambient temperature is lower than the preset temperature, the navigation path in which the vehicle's illuminated part is the vehicle's battery part and the illumination time is the longest is selected as the target navigation path.

[0017] Optionally, the determining a target navigation path among the multiple navigation paths based on the illumination information includes:

[0018] When the heater is turned on in the current vehicle cab, the navigation path with the vehicle cab illuminated and the longest illumination time is selected as the target navigation path.

[0019] Optionally, the determining a target navigation path among the multiple navigation paths based on the illumination information includes:

[0020] When the cooling air is turned on in the current vehicle cab, the navigation path with the shortest illumination time is selected as the target navigation path.

[0021] Optionally, determining a target navigation path from the multiple navigation paths based on the congestion level and ramp information of each navigation path includes:

[0022] When the cooling air is turned on in the current vehicle cab, the navigation path with the shortest illumination time for the vehicle cab as the illuminated part of the vehicle is selected as the target navigation path.

[0023] In a second aspect, an embodiment of the present invention further provides a vehicle charging trip planning device, comprising:

[0024] A first acquisition unit is used to acquire the current remaining power of the new energy vehicle;

[0025] a second acquiring unit, configured to acquire location information of charging stations within a preset range when the current remaining power is less than or equal to a preset remaining power;

[0026] a generating unit, configured to generate a plurality of navigation routes based on the location information of the charging station;

[0027] The determining unit is configured to obtain illumination information in each navigation path, and determine a target navigation path among the plurality of navigation paths based on the illumination information.

[0028] In order to achieve the above-mentioned object, according to a third aspect of the present invention, a computer-readable storage medium is provided, wherein the computer-readable storage medium includes a stored program, wherein when the program is executed by a processor, the above-mentioned vehicle charging trip planning method is implemented.

[0029] In order to achieve the above-mentioned purpose, according to the fourth aspect of the present invention, an electronic device is provided, comprising at least one processor and at least one memory connected to the processor; wherein the processor is used to call program instructions in the memory to execute the above-mentioned vehicle charging trip planning method.

[0030] Through the above technical solution, the present invention provides a vehicle charging trip planning method, which obtains the current remaining battery power of a new energy vehicle; when the current remaining battery power is less than or equal to a preset remaining battery power, obtains the location information of charging stations within a preset range; generates multiple navigation routes based on the location information of the charging stations; obtains lighting information for each navigation route, and determines a target navigation route from the multiple navigation routes based on the lighting information. Thus, when the current remaining battery power is less than or equal to the preset remaining battery power, multiple navigation routes are generated. Due to the different orientations of each route and the varying levels of obstruction from buildings on either side of the route, the time and location of direct sunlight exposure vary significantly within each navigation route. Furthermore, due to the material of the vehicle, the local temperature can vary significantly when exposed to sunlight. Given that the rate of battery power consumption varies in different temperature environments, especially in extreme weather conditions such as high or low ambient temperatures, the lighting factor significantly affects the distance the vehicle can travel with its remaining battery power across different navigation routes. Therefore, by determining a target navigation route from among the multiple navigation routes based on the illumination information when the vehicle's current remaining battery charge is less than or equal to a preset remaining battery charge, the user's desire for a longer driving distance supported by the remaining battery charge can be met, increasing the likelihood of successful charging or selecting a charging station. In hot or cold weather, effective use of illumination can reduce the rate of battery consumption. This avoids the possibility of misjudging the selection of a charging station or charging route, which could result in the vehicle being unable to charge successfully if the user only considers the remaining driving distance and remaining battery charge indicated by the vehicle.

[0031] Correspondingly, the vehicle charging trip planning device, equipment, and computer-readable storage medium provided in the embodiments of the present invention also have the above-mentioned technical effects.

[0032] The above description is only an overview of the technical solution of the present invention. In order to more clearly understand the technical means of the present invention, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are specifically listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Various other advantages and benefits will become apparent to those skilled in the art upon reading the detailed description of the preferred embodiment below. The accompanying drawings are for illustration purposes only and are not to be considered as limiting the present invention. The same reference symbols are used throughout the drawings to represent the same components. In the drawings:

[0034] Figure 1 A schematic diagram showing a flow chart of a vehicle charging trip planning method provided by an embodiment of the present invention;

[0035] Figure 2 A schematic block diagram of a vehicle charging trip planning device provided by an embodiment of the present invention is shown;

[0036] Figure 3 A schematic block diagram of the composition of an electronic device for planning a vehicle charging journey provided by an embodiment of the present invention is shown. DETAILED DESCRIPTION

[0037] Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present invention are shown in the accompanying drawings, it should be understood that the present invention can be implemented in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided to enable a more thorough understanding of the present invention and to fully convey the scope of the present invention to those skilled in the art.

[0038] In order to solve the problem that the charging user only considers the remaining driving distance and remaining power prompted by the current vehicle, which is likely to cause misjudgment of the charging station or charging path selection, resulting in the vehicle being unable to charge smoothly, the embodiment of the present invention provides a vehicle charging trip planning method, such as Figure 1 As shown, the method includes:

[0039] S110, obtaining the current remaining power of the new energy vehicle;

[0040] For example, the current remaining power of the new energy vehicle can be understood as the current remaining power of the power battery of the new energy vehicle. The power battery can be understood as the battery in the new energy vehicle that provides power to the vehicle. The vehicle needs the power battery to provide power to it.

[0041] S120. When the current remaining power is less than or equal to a preset remaining power, obtain location information of charging stations within a preset range.

[0042] For example, the preset power level can be 20% of the power battery's power level or 10% of the power battery's power level, without limitation. Of course, the preset power level can also be set differently based on the vehicle type, battery type, or region where the vehicle is located. For example, if the vehicle is a heavy vehicle, the preset power level can be set higher, such as 30%. Alternatively, considering the density of charging stations in the area where the vehicle is located, the preset power level can be set relatively low in areas with a high density of charging stations, while the preset power level can be set relatively high in areas with a low density of charging stations.

[0043] S130, generating multiple navigation routes based on the location information of the charging station;

[0044] For example, multiple navigation routes can be generated based on one charging station. Alternatively, multiple navigation routes can be generated based on multiple charging stations, each of which provides users with more options.

[0045] S140: Acquire illumination information in each navigation path, and determine a target navigation path among the multiple navigation paths based on the illumination information.

[0046] Exemplarily, the lighting information is daylight information. Each navigation route contains at least one straight segment, and the daylight information is derived based on the lighting conditions of each straight segment within the route. For example, navigation route A includes straight segment a, straight segment b, and straight segment c, and the lighting conditions associated with straight segments a, b, and c are different. Therefore, the daylight information for navigation route A is derived based on the lighting conditions of straight segments a, b, and c.

[0047] Through the above technical solution, the present invention provides a vehicle charging trip planning method, which obtains the current remaining battery power of a new energy vehicle; when the current remaining battery power is less than or equal to a preset remaining battery power, obtains the location information of charging stations within a preset range; generates multiple navigation routes based on the location information of the charging stations; obtains lighting information for each navigation route, and determines a target navigation route from the multiple navigation routes based on the lighting information. Thus, when the current remaining battery power is less than or equal to the preset remaining battery power, multiple navigation routes are generated. Due to the different orientations of each route and the varying levels of obstruction from buildings on either side of the route, the time and location of direct sunlight exposure vary significantly within each navigation route. Furthermore, due to the material of the vehicle, the local temperature can vary significantly when exposed to sunlight. Given that the rate of battery power consumption varies in different temperature environments, especially in extreme weather conditions such as high or low ambient temperatures, the lighting factor significantly affects the distance the vehicle can travel with its remaining battery power across different navigation routes. Therefore, by determining a target navigation route from among the multiple navigation routes based on the illumination information when the vehicle's current remaining battery charge is less than or equal to a preset remaining battery charge, the user's desire for a longer driving distance supported by the remaining battery charge can be met, increasing the likelihood of successful charging or selecting a charging station. In hot or cold weather, effective use of illumination can reduce the rate of battery consumption. This avoids the possibility of misjudging the selection of a charging station or charging route, which could result in the vehicle being unable to charge successfully if the user only considers the remaining driving distance and remaining battery charge indicated by the vehicle.

[0048] In one embodiment, the illumination information includes vehicle illumination location information and illumination duration, and obtaining the illumination information in each navigation path includes:

[0049] Get the roadside fixed obstruction information at the current moment and in each navigation path;

[0050] Based on the current time and the roadside fixed obstruction information in each navigation path, the vehicle lighting location information and lighting duration in each navigation path are calculated.

[0051] For example, the vehicle illumination location information may include the vehicle battery compartment location or the vehicle driving location, and in some examples, may also include the incident angle information of the illumination. The roadside fixed obstruction information may include the height of the roadside fixed obstruction.

[0052] For example, the illumination direction at the current moment can be determined, and the orientation of the road section in each navigation path is also determined, so the roadside fixed obstruction information in each navigation path can be obtained. For example, when road section a is unobstructed, when a vehicle is traveling on road section a, the right side of the vehicle will always be illuminated by the vehicle. Combined with the length of road section a, a preliminary prediction can be made on the illumination duration when the vehicle is traveling on road section a. Then, when considering the roadside fixed obstruction information, the actual length of illumination received by road section a can be calculated by excluding the length of the roadside fixed obstruction, thereby more accurately predicting the illumination duration of the vehicle traveling on road section a.

[0053] For example, since the above-mentioned preset range is generally a relatively small distance range, the change in the position of the sun during the driving of the vehicle may not be considered.

[0054] In one embodiment, the illumination information includes vehicle illumination location information and illumination duration, and obtaining the illumination information in each navigation path includes:

[0055] Get the roadside fixed obstruction information at the current moment and in each navigation path;

[0056] Based on the current time and the roadside fixed obstruction information in each navigation path, the vehicle lighting location information and lighting duration in each navigation path are predicted during the vehicle's driving process.

[0057] For example, based on the current time and roadside fixed obstruction information for each navigation route, the vehicle's illuminated location and duration along each navigation route are predicted, taking into account the changing position of the sun during driving. This improves the accuracy of the obtained vehicle illuminated location and duration along each navigation route.

[0058] In one embodiment, determining a target navigation path among the multiple navigation paths based on the illumination information includes:

[0059] When the current ambient temperature is lower than the preset temperature, the navigation path in which the vehicle's illuminated part is the vehicle's battery part and the illumination time is the longest is selected as the target navigation path.

[0060] In one embodiment, determining a target navigation path among the multiple navigation paths based on the illumination information includes:

[0061] When the heater is turned on in the current vehicle cab, the navigation path with the vehicle cab illuminated and the longest illumination time is selected as the target navigation path.

[0062] For example, if the heater is on in the current vehicle's cab, the navigation path with the longest illumination duration in the vehicle's cab is selected as the target navigation path. This further reduces power consumption while also avoiding compromising the user's driving comfort.

[0063] In one embodiment, determining a target navigation path among the multiple navigation paths based on the illumination information includes:

[0064] When the cooling air is turned on in the current vehicle cab, the navigation path with the shortest illumination time is selected as the target navigation path.

[0065] For example, when the cooling fan is turned on in the current vehicle cab, the navigation route with the shortest illumination duration is selected as the target navigation route, thereby further reducing power consumption and avoiding reducing the user's driving comfort.

[0066] In one embodiment, determining a target navigation path from the plurality of navigation paths based on the congestion level and ramp information of each navigation path includes:

[0067] When the cooling air is turned on in the current vehicle cab, the navigation path with the shortest illumination time for the vehicle cab as the illuminated part of the vehicle is selected as the target navigation path.

[0068] Furthermore, as a response to the above Figure 1 In order to realize the method shown in the figure, the embodiment of the present invention also provides a vehicle charging journey planning device for Figure 1 This device embodiment corresponds to the aforementioned method embodiment. For ease of reading, this device embodiment will not describe the details of the aforementioned method embodiment one by one, but it should be clear that the device in this embodiment can implement all the contents of the aforementioned method embodiment. Figure 2 As shown, the device includes: a first acquisition unit 210, a second acquisition unit 220, a generation unit 230 and a determination unit 240, wherein

[0069] The first acquisition unit 210 is used to obtain the current remaining power of the new energy vehicle;

[0070] The second acquiring unit 220 is configured to acquire location information of charging stations within a preset range when the current remaining power is less than or equal to a preset remaining power;

[0071] A generating unit 230, configured to generate a plurality of navigation routes based on the location information of the charging station;

[0072] The determining unit 240 is configured to obtain illumination information in each navigation path, and determine a target navigation path among the multiple navigation paths based on the illumination information.

[0073] Through the above technical solution, the vehicle charging route planning device provided by the present invention obtains the current remaining battery power of a new energy vehicle; when the current remaining battery power is less than or equal to a preset remaining battery power, obtains the location information of charging stations within a preset range; generates multiple navigation routes based on the location information of the charging stations; obtains lighting information within each navigation route, and determines a target navigation route from the multiple navigation routes based on the lighting information. Thus, when the current remaining battery power is less than or equal to the preset remaining battery power, multiple navigation routes are generated. Due to the different orientations of each route and the varying levels of obstruction from buildings on either side of the route, the time and location of direct sunlight exposure vary significantly within each navigation route. Furthermore, due to the material of the vehicle, the local temperature can vary significantly when exposed to sunlight. Given that the rate of battery power consumption varies in different temperature environments, especially in extreme weather conditions such as high or low ambient temperatures, the lighting factor significantly affects the distance the vehicle can travel with its remaining battery power across different navigation routes. Therefore, by determining a target navigation route from among the multiple navigation routes based on the illumination information when the vehicle's current remaining battery charge is less than or equal to a preset remaining battery charge, the user's desire for a longer driving distance supported by the remaining battery charge can be met, increasing the likelihood of successful charging or selecting a charging station. In hot or cold weather, effective use of illumination can reduce the rate of battery consumption. This avoids the possibility of misjudging the selection of a charging station or charging route, which could result in the vehicle being unable to charge successfully if the user only considers the remaining driving distance and remaining battery charge indicated by the vehicle.

[0074] The processor includes a kernel, which retrieves corresponding program units from memory. One or more kernels can be configured, and kernel parameters are adjusted to implement a vehicle charging trip planning method. This method addresses the issue of users only considering the remaining driving distance and remaining battery power displayed by the vehicle, which can lead to misjudgment of charging station or charging route selection, resulting in the vehicle being unable to charge smoothly.

[0075] An embodiment of the present invention provides a computer-readable storage medium, which includes a stored program. When the program is executed by a processor, the vehicle charging trip planning method is implemented.

[0076] An embodiment of the present invention provides a processor, which is used to run a program, wherein the vehicle charging trip planning method is executed when the program is run.

[0077] An embodiment of the present invention provides an electronic device, comprising at least one processor and at least one memory connected to the processor; wherein the processor is configured to call program instructions in the memory to execute the vehicle charging trip planning method described above.

[0078] An embodiment of the present invention provides an electronic device 30, such as Figure 3 As shown, the electronic device includes at least one processor 301, and at least one memory 302 and a bus 303 connected to the processor; wherein the processor 301 and the memory 302 communicate with each other via the bus 303; the processor 301 is used to call program instructions in the memory:

[0079] Get the current remaining power of new energy vehicles;

[0080] When the current remaining power is less than or equal to a preset remaining power, obtaining location information of charging stations within a preset range;

[0081] generating a plurality of navigation routes based on the location information of the charging station;

[0082] Lighting information in each navigation path is obtained, and a target navigation path is determined among the multiple navigation paths based on the lighting information.

[0083] Optionally, the illumination information includes vehicle illumination location information and illumination duration, and obtaining the illumination information in each navigation path includes:

[0084] Get the roadside fixed obstruction information at the current moment and in each navigation path;

[0085] Based on the current time and the roadside fixed obstruction information in each navigation path, the vehicle lighting location information and lighting duration in each navigation path are calculated.

[0086] Optionally, the illumination information includes vehicle illumination location information and illumination duration, and obtaining the illumination information in each navigation path includes:

[0087] Get the roadside fixed obstruction information at the current moment and in each navigation path;

[0088] Based on the current time and the roadside fixed obstruction information in each navigation path, the vehicle lighting location information and lighting duration in each navigation path are predicted during the vehicle's driving process.

[0089] Optionally, the determining a target navigation path among the multiple navigation paths based on the illumination information includes:

[0090] In a case where the current ambient temperature is lower than the preset temperature, a navigation path with the vehicle battery part as the vehicle light part and the longest light time is selected as the target navigation path.

[0091] Optionally, the determining the target navigation path from the plurality of navigation paths based on the light information comprises:

[0092] In a case where the current vehicle cab is blowing warm air, a navigation path with the vehicle cab part as the vehicle light part and the longest light time is selected as the target navigation path.

[0093] Optionally, the determining the target navigation path from the plurality of navigation paths based on the light information comprises:

[0094] In a case where the current vehicle cab is blowing cold air, a navigation path with the shortest light time is selected as the target navigation path.

[0095] Optionally, the determining the target navigation path from the plurality of navigation paths based on the congestion degree and the slope information of each navigation path comprises:

[0096] In a case where the current vehicle cab is blowing cold air, a navigation path with the vehicle cab part as the vehicle light part and the shortest light time is selected as the target navigation path.

[0097] The vehicle charging trip planning method is executed.

[0098] The application also provides a computer program product suitable for executing a program with the following method steps when executed on a process management electronic device:

[0099] Obtaining the current residual capacity of the new energy vehicle;

[0100] In a case where the current residual capacity is less than or equal to the preset residual capacity, obtaining the position information of the charging station within the preset range;

[0101] Generating a plurality of navigation paths based on the position information of the charging station;

[0102] Obtaining light information in each navigation path, and determining a target navigation path from the plurality of navigation paths based on the light information.

[0103] Optionally, the light information comprises vehicle light part information and light time, and the obtaining the light information in each navigation path comprises:

[0104] Obtaining the current time and roadside fixed blocking information in each navigation path;

[0105] Based on the current time and the roadside fixed obstruction information in each navigation path, the vehicle lighting location information and lighting duration in each navigation path are calculated.

[0106] Optionally, the illumination information includes vehicle illumination location information and illumination duration, and obtaining the illumination information in each navigation path includes:

[0107] Get the roadside fixed obstruction information at the current moment and in each navigation path;

[0108] Based on the current time and the roadside fixed obstruction information in each navigation path, the vehicle lighting location information and lighting duration in each navigation path are predicted during the vehicle's driving process.

[0109] Optionally, the determining a target navigation path among the multiple navigation paths based on the illumination information includes:

[0110] When the current ambient temperature is lower than the preset temperature, the navigation path in which the vehicle's illuminated part is the vehicle's battery part and the illumination time is the longest is selected as the target navigation path.

[0111] Optionally, the determining a target navigation path among the multiple navigation paths based on the illumination information includes:

[0112] When the heater is turned on in the current vehicle cab, the navigation path with the vehicle cab illuminated and the longest illumination time is selected as the target navigation path.

[0113] Optionally, the determining a target navigation path among the multiple navigation paths based on the illumination information includes:

[0114] When the cooling air is turned on in the current vehicle cab, the navigation path with the shortest illumination time is selected as the target navigation path.

[0115] Optionally, determining a target navigation path from the multiple navigation paths based on the congestion level and ramp information of each navigation path includes:

[0116] When the cooling air is turned on in the current vehicle cab, the navigation path with the shortest illumination time for the vehicle cab as the illuminated part of the vehicle is selected as the target navigation path.

[0117] The present application is described with reference to the flowcharts and / or block diagrams of the methods, electronic devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable process management electronic device to produce a machine, so that the instructions executed by the processor of the computer or other programmable process management electronic device generate instructions for implementing the process in the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0118] In a typical configuration, an electronic device includes one or more processors (CPUs), a memory, and a bus. The electronic device may also include an input / output interface, a network interface, and the like.

[0119] Memory may include non-permanent memory in a computer-readable medium, random access memory (RAM), and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory includes at least one memory chip. Memory is an example of a computer-readable medium.

[0120] Computer-readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. The information can be computer-readable instructions, data structures, program modules 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 disc (DVD) or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage electronic devices or any other non-transmission media that can be used to store information that can be accessed by computing electronic devices. As defined herein, computer-readable media does not include transitory computer-readable media (transitory media), such as modulated data signals and carrier waves.

[0121] It should also be noted that the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, commodity, or electronic device that includes a list of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, commodity, or electronic device. In the absence of further limitations, an element defined by the phrase "comprises a..." does not preclude the presence of additional identical elements in the process, method, commodity, or electronic device that includes the element.

[0122] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present application may take the form of a computer program product implemented on one or more computer-usable computer-readable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0123] The above are merely embodiments of the present application and are not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present application should all be included within the scope of the claims of the present application.

Claims

1. A vehicle charging trip planning method, characterized in that: include: Get the current remaining power of new energy vehicles; When the current remaining power is less than or equal to a preset remaining power, obtaining location information of charging stations within a preset range; generating a plurality of navigation routes based on the location information of the charging station; Obtaining illumination information in each navigation path, and determining a target navigation path among the multiple navigation paths based on the illumination information; wherein the illumination information includes vehicle illumination position information and illumination duration; obtaining illumination information in each navigation path, including: obtaining roadside fixed obstruction information at the current moment and in each navigation path; calculating vehicle illumination position information and illumination duration in each navigation path based on the roadside fixed obstruction information at the current moment and in each navigation path; determining a target navigation path among the multiple navigation paths based on the illumination information, including: when the current ambient temperature is lower than a preset temperature, selecting a navigation path whose vehicle illumination position is a vehicle battery position and whose illumination duration is the longest as the target navigation path.

2. The method according to claim 1, characterized in that The illumination information includes vehicle illumination location information and illumination duration. The obtaining of illumination information in each navigation path includes: Get the roadside fixed obstruction information at the current moment and in each navigation path; Based on the current time and the roadside fixed obstruction information in each navigation path, the vehicle lighting location information and lighting duration in each navigation path are predicted during the vehicle's driving process.

3. The method according to claim 1 or 2, characterized in that The determining a target navigation path among the multiple navigation paths based on the illumination information includes: When the heater is turned on in the current vehicle cab, the navigation path with the vehicle cab illuminated and the longest illumination time is selected as the target navigation path.

4. The method according to claim 1 or 2, characterized in that The determining a target navigation path among the multiple navigation paths based on the illumination information includes: When the cooling air is turned on in the current vehicle cab, the navigation path with the shortest illumination time is selected as the target navigation path.

5. The method according to claim 4, characterized in that Determining a target navigation path among the plurality of navigation paths based on the congestion level and ramp information of each navigation path includes: When the cooling air is turned on in the current vehicle cab, the navigation path with the shortest illumination time for the vehicle cab as the illuminated part of the vehicle is selected as the target navigation path.

6. A vehicle charging trip planning device, characterized in that: include: A first acquisition unit is used to acquire the current remaining power of the new energy vehicle; a second acquiring unit, configured to acquire location information of charging stations within a preset range when the current remaining power is less than or equal to a preset remaining power; a generating unit, configured to generate a plurality of navigation routes based on the location information of the charging station; A determination unit is used to obtain lighting information in each navigation path, and determine a target navigation path among the multiple navigation paths based on the lighting information; wherein the lighting information includes vehicle lighting position information and lighting duration; the obtaining of the lighting information in each navigation path includes: obtaining roadside fixed obstruction information at the current moment and in each navigation path; based on the current moment and roadside fixed obstruction information in each navigation path, calculating the vehicle lighting position information and lighting duration in each navigation path; the determining of the target navigation path among the multiple navigation paths based on the lighting information includes: when the current ambient temperature is lower than a preset temperature, selecting the navigation path with the vehicle lighting position being the vehicle battery position and the longest lighting duration as the target navigation path.

7. A computer-readable storage medium, characterized in that The computer-readable storage medium includes a stored program, wherein when the program is executed by a processor, the vehicle charging trip planning method according to any one of claims 1 to 5 is implemented.

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

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