Vehicle navigation path planning method and device, vehicle and medium

Abstract

The invention relates to the technical field of vehicle-mounted navigation, in particular to a vehicle navigation path planning method and device, a vehicle and a medium. Determining a target position point corresponding to the maximum driving distance of the vehicle in the target navigation path; and determining an energy supply station set in the target range based on the target position point, determining a target energy supply station meeting a preset supply condition according to the energy supply station set, and adding the target energy supply station to the target navigation path to obtain an updated navigation path, so that the vehicle runs according to the updated navigation path. Therefore, the problems that in the prior art, energy supplement site recommendation is mostly carried out based on a single factor, dynamic analysis on a complex path is lacked, and the real-time performance and accuracy of navigation path planning are reduced are solved.

Description

Technical Field

[0001] The present application relates to the field of vehicle navigation technology, and in particular to a method, device, vehicle, and medium for vehicle navigation path planning. Background Art

[0002] With the popularity of electric vehicles, the problem of electric vehicle range anxiety has become increasingly prominent, and more and more users are paying attention to this pain point. At the same time, the popularity of self-driving tours and off-road tours has made fuel vehicle users pay more attention to whether the vehicle can remind them to refuel or charge in time to ensure a smooth trip. Therefore, when a user initiates navigation route planning for the destination, it is particularly important to recommend charging stations or gas stations along the way in advance based on the current remaining power / fuel level. Related technologies mainly include methods for recommending charging stations based on the remaining energy status during vehicle navigation. For example, when insufficient power or fuel is detected, nearby gas stations or charging stations are searched for and route guidance is provided.

[0003] However, related technologies mostly recommend charging stations based on a single factor and lack dynamic analysis of complex routes, resulting in inaccurate recommendation results that are difficult to meet the actual needs in complex travel scenarios, reducing the real-time and accuracy of navigation route planning, which urgently needs to be solved. Summary of the Invention

[0004] The present application provides a method, device, vehicle, and medium for vehicle navigation path planning to address the problems in related technologies such as the recommendation of recharging stations based on a single factor, the lack of dynamic analysis of complex paths, and the reduction of the real-time and accuracy of navigation path planning.

[0005] A first aspect of the present application provides a method for vehicle navigation path planning, comprising the following steps: obtaining a target navigation path and a current energy remaining amount of a vehicle, and determining an energy consumption curve of the vehicle based on the target navigation path; determining a target position point corresponding to a maximum driving distance of the vehicle in the target navigation path based on the current energy remaining amount, the energy consumption curve, and a minimum energy supply remaining amount preset by a user; determining a set of energy supply stations within a target range based on the target position point, and determining a target energy supply station that meets preset supply conditions based on the set of energy supply stations, and adding the target energy supply station to the target navigation path to obtain an updated navigation path, so that the vehicle travels according to the updated navigation path.

[0006] Optionally, in one embodiment of the present application, before determining the target position point corresponding to the maximum driving distance of the vehicle in the target navigation path based on the current energy remaining amount, the energy consumption curve and the minimum energy supply remaining amount pre-set by the user, it also includes: judging whether the user has not set the minimum energy supply remaining amount; if the user has not set the minimum energy supply remaining amount, obtaining the average energy remaining amount of the vehicle when energy is replenished within the target number of times, and using the average energy remaining amount as the minimum energy supply remaining amount; if the user has set the expected energy supply remaining amount for the vehicle, using the expected energy supply remaining amount as the minimum energy supply remaining amount.

[0007] Optionally, in one embodiment of the present application, determining the target energy supply station that meets the preset supply conditions based on the energy supply station set includes: obtaining the actual distance, estimated traffic flow and historical user ratings of each energy supply station in the energy supply station set; determining the target energy supply station that meets the preset supply conditions based on the actual distance, estimated traffic flow and historical user ratings of each energy supply station.

[0008] Optionally, in one embodiment of the present application, obtaining the updated navigation path so that the vehicle travels according to the updated navigation path includes: sending the updated navigation path to a preset terminal, and prompting the user at the preset terminal whether to change the updated navigation path; if the user confirms to change the updated navigation path, controlling the vehicle to travel according to the updated navigation path.

[0009] Optionally, in one embodiment of the present application, after obtaining the updated navigation path and causing the vehicle to travel according to the updated navigation path, it also includes: obtaining the actual remaining mileage of the vehicle when it is detected that the vehicle has traveled to the target energy supply station and has completed energy replenishment; determining a new energy supply station based on the actual remaining mileage, the energy consumption curve and the minimum energy supply remaining amount; sending the navigation path information corresponding to the new energy supply station to the preset terminal, and displaying the navigation path information on the preset terminal.

[0010] A second aspect of the present application provides a device for vehicle navigation path planning, including: an acquisition module for acquiring a target navigation path and a current energy remaining amount of a vehicle, and determining an energy consumption curve of the vehicle based on the target navigation path; a determination module for determining a target position point corresponding to a maximum driving distance of the vehicle in the target navigation path based on the current energy remaining amount, the energy consumption curve and a minimum energy supply remaining amount preset by a user; a planning module for determining a set of energy supply stations within a target range based on the target position point, and determining a target energy supply station that meets preset supply conditions based on the set of energy supply stations, and adding the target energy supply station to the target navigation path to obtain an updated navigation path, so that the vehicle travels according to the updated navigation path.

[0011] Optionally, in one embodiment of the present application, the apparatus of the embodiment of the present application further includes: a judgment module for judging whether the user has not set the minimum energy supply remaining amount before determining the target position point corresponding to the maximum driving distance of the vehicle in the target navigation path based on the current remaining energy amount, the energy consumption curve, and the minimum energy supply remaining amount preset by the user; a first processing module for, if the user has not set the minimum energy supply remaining amount before determining the target position point corresponding to the maximum driving distance of the vehicle in the target navigation path based on the current remaining energy amount, the energy consumption curve, and the minimum energy supply remaining amount preset by the user, obtaining the average energy remaining amount of the vehicle when energy is replenished within a target number of times, and using the average energy remaining amount as the minimum energy supply remaining amount; and a second processing module for, if the user has set an expected energy supply remaining amount for the vehicle before determining the target position point corresponding to the maximum driving distance of the vehicle in the target navigation path based on the current remaining energy amount, the energy consumption curve, and the minimum energy supply remaining amount preset by the user, using the expected energy supply remaining amount as the minimum energy supply remaining amount.

[0012] Optionally, in one embodiment of the present application, the planning module includes: an acquisition unit for acquiring the actual distance, estimated traffic flow and historical user ratings of each energy supply station in the energy supply station set; a determination unit for determining the target energy supply station that meets the preset supply conditions based on the actual distance, estimated traffic flow and historical user ratings of each energy supply station.

[0013] Optionally, in one embodiment of the present application, the planning module includes: a sending unit for sending the updated navigation path to a preset terminal and prompting the user at the preset terminal whether to change the updated navigation path; and a control unit for controlling the vehicle to travel according to the updated navigation path if the user confirms to change the updated navigation path.

[0014] Optionally, in one embodiment of the present application, the device of the embodiment of the present application further includes: an acquisition module for obtaining an updated navigation path so that the vehicle travels according to the updated navigation path, and obtaining the actual remaining mileage of the vehicle when it is detected that the vehicle has traveled to the target energy refueling station and has completed energy refueling; a determination module for determining a new energy refueling station based on the actual remaining mileage, the energy consumption curve and the minimum energy refueling remaining amount after the updated navigation path is obtained so that the vehicle travels according to the updated navigation path; a sending module for sending the navigation path information corresponding to the new energy refueling station to the preset terminal after the updated navigation path is obtained so that the vehicle travels according to the updated navigation path, and displaying the navigation path information on the preset terminal.

[0015] The third aspect of the present application provides a vehicle, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the vehicle navigation path planning method as described in the above embodiment.

[0016] The fourth aspect of the present application provides a computer-readable storage medium, which stores a computer program. When the program is executed by a processor, it implements the above method for vehicle navigation path planning.

[0017] The fifth aspect of the present application provides a computer program product, including a computer program, which, when executed, is used to implement the above vehicle navigation path planning method.

[0018] The embodiment of the present application can determine the target location point corresponding to the maximum driving distance of the vehicle in the target navigation path based on the vehicle's current energy remaining amount, energy consumption curve, and the minimum energy supply remaining amount pre-set by the user. Then, based on the target location point, a set of energy supply stations within the target range is determined, and based on the set of energy supply stations, a target energy supply station that meets the preset supply conditions is determined, and the target energy supply station is added to the target navigation path to obtain an updated navigation path, so that the vehicle travels according to the updated navigation path, effectively improving the real-time and accuracy of navigation path planning. This solves the problems in related technologies such as the recommendation of energy supply stations based on a single factor, the lack of dynamic analysis of complex paths, and the reduction of the real-time and accuracy of navigation path planning.

[0019] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0021] Figure 1 A flowchart of a vehicle navigation path planning method provided according to an embodiment of the present application;

[0022] Figure 2 A logic diagram of vehicle navigation path planning according to a specific embodiment of the present application;

[0023] Figure 3 A schematic diagram of the structure of a vehicle navigation path planning device provided according to an embodiment of the present application;

[0024] Figure 4 A schematic structural diagram of a vehicle provided according to an embodiment of the present application. DETAILED DESCRIPTION

[0025] The following describes in detail embodiments of the present application, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present application, and should not be construed as limiting the present application.

[0026] The following describes the method, device, vehicle and medium for vehicle navigation path planning in an embodiment of the present application with reference to the accompanying drawings. In view of the problems that the related technologies mentioned in the background technology center mentioned above are mostly based on a single factor to recommend energy replenishment sites, lack dynamic analysis of complex paths, and reduce the real-time and accuracy of navigation path planning, the present application provides a method for vehicle navigation path planning, in which the target position point corresponding to the maximum driving distance of the vehicle in the target navigation path can be determined based on the current energy remaining amount of the vehicle, the energy consumption curve and the minimum energy supply remaining amount pre-set by the user, then, based on the target position point, the energy supply station set within the target range is determined, and the target energy supply station that meets the preset supply conditions is determined based on the energy supply station set, and the target energy supply station is added to the target navigation path to obtain an updated navigation path, so that the vehicle travels according to the updated navigation path, effectively improving the real-time and accuracy of navigation path planning. Thus, it solves the problems that the related technologies are mostly based on a single factor to recommend energy replenishment sites, lack dynamic analysis of complex paths, and reduce the real-time and accuracy of navigation path planning.

[0027] Specifically, Figure 1 A flowchart of a method for vehicle navigation path planning provided in an embodiment of the present application.

[0028] like Figure 1 As shown, the vehicle navigation path planning method includes the following steps:

[0029] In step S101 , a target navigation path and a current remaining energy amount of the vehicle are obtained, and an energy consumption curve of the vehicle is determined according to the target navigation path.

[0030] It is understandable that the embodiment of the present application can obtain the target navigation path and the current remaining energy of the vehicle, for example, Figure 2 As shown, before the user is ready to set off, he navigates to the destination through his mobile phone and projects the navigation route onto the vehicle's central control screen. The vehicle can obtain the user's navigation path and the vehicle's current remaining energy. When the vehicle's power type is a gasoline vehicle, the remaining fuel of the vehicle is obtained; when the vehicle's power type is an electric vehicle, the remaining power of the vehicle is obtained. Then, the embodiment of the present application can also determine the vehicle's energy consumption curve based on the target navigation path. For example, the road type (such as urban roads, highways), slope changes, turning points, etc. in the itinerary can be analyzed based on the navigation path. The energy consumption curve of the vehicle in the future driving process can also be generated based on real-time weather conditions, effectively improving travel efficiency and energy utilization efficiency.

[0031] In step S102, based on the current remaining energy amount, the energy consumption curve and the minimum remaining energy amount preset by the user, a target position point corresponding to the maximum driving distance of the vehicle in the target navigation route is determined.

[0032] In an embodiment of the present application, the minimum energy supply remaining amount pre-set by the user can be set according to the user's own habits. For example, when the oil level is less than 20% or the power level is less than 30%, energy replenishment is required in time to reduce the user's car use anxiety; the target location point is the specific location of the vehicle when energy replenishment is needed.

[0033] It is understood that the embodiment of the present application can determine the maximum driving distance of the vehicle in the target navigation path based on the current remaining energy of the vehicle, the energy consumption curve and the minimum remaining energy supply set by the user, such as Figure 2 As shown in the figure, if the current remaining energy cannot reach the destination, the specific geographical location corresponding to the maximum driving distance, that is, the corresponding target location point, can be determined accordingly. Therefore, the distribution of charging facilities along the way can be comprehensively considered according to the corresponding specific location, and charging stations that are within the drivable range and meet the user's preferences can be recommended first, thereby reducing the user's anxiety about using the car and improving driving safety.

[0034] Optionally, in one embodiment of the present application, before determining the target position point corresponding to the maximum driving distance of the vehicle in the target navigation path based on the current energy remaining amount, the energy consumption curve and the minimum energy supply remaining amount pre-set by the user, it also includes: judging whether the user has not set the minimum energy supply remaining amount; if the user has not set the minimum energy supply remaining amount, obtaining the average energy remaining amount of the vehicle when energy is replenished within the target number of times, and using the average energy remaining amount as the minimum energy supply remaining amount; if the user has set the expected energy supply remaining amount for the vehicle, using the expected energy supply remaining amount as the minimum energy supply remaining amount.

[0035] In the actual implementation process, Figure 2 As shown, the embodiment of the present application can obtain the remaining energy of the user's most recent n refueling or charging times (n>20) without the user manually setting the minimum energy supply remaining amount, remove the 0% records, and take the average of the remaining data to obtain the average energy remaining amount during multiple energy replenishments, and then add a certain value as appropriate (the energy consumed from the reserved reminder location to the charging station or gas station, usually 5% to 10%), which can be recorded as x%; in addition, if the user has set the expected energy supply remaining amount of the vehicle in advance, such as, if the current vehicle is an electric car, and the user sets the remaining power of 30% as the expected energy supply remaining amount, then the expected energy supply remaining amount will be used as the minimum energy supply remaining amount, thereby effectively improving the interactivity and intelligence level of the vehicle.

[0036] In step S103, based on the target location point, a set of energy refueling stations within the target range is determined, and a target energy refueling station that meets the preset refueling conditions is determined based on the set of energy refueling stations, and the target energy refueling station is added to the target navigation path to obtain an updated navigation path, so that the vehicle travels according to the updated navigation path.

[0037] In an embodiment of the present application, when the vehicle is a gasoline vehicle, the set of energy refueling stations within the target range is all gas stations within a certain range; when the vehicle is an electric vehicle, the set of energy refueling stations within the target range is all charging stations within a certain range, and recommendations are made specifically based on the actual power type of the vehicle; the preset refueling conditions can be the actual distance, estimated traffic flow, and historical user ratings in the following steps; the target energy refueling station is the best charging station or best gas station recommended to the user.

[0038] It is understandable that the embodiment of the present application can determine the energy supply station set within the target range based on the target location point, for example, Figure 2 As shown, it can be a set of energy refueling stations within 2 kilometers of the corresponding position point of the vehicle's maximum driving distance, and the target energy refueling station that meets certain refueling conditions is determined based on the energy refueling station set, for example, the best energy refueling station with the closest actual distance or the highest historical user rating, and the location point of the best energy refueling station is added to the target navigation path to obtain an updated navigation path, so that the vehicle can travel according to the updated navigation path, that is, guide the vehicle to the best refueling station first, and then continue to the final destination. Therefore, the embodiment of the present application realizes the deep integration of path planning and energy management by intelligently identifying and inserting suitable target energy refueling stations, which significantly improves the safety, economy and user experience of travel.

[0039] Optionally, in one embodiment of the present application, a target energy supply station that meets preset supply conditions is determined based on a set of energy supply stations, including: obtaining the actual distance, estimated traffic flow, and historical user ratings of each energy supply station in the set of energy supply stations; and determining the target energy supply station that meets the preset supply conditions based on the actual distance, estimated traffic flow, and historical user ratings of each energy supply station.

[0040] In some embodiments, the embodiments of the present application can obtain the actual distance, estimated traffic flow and historical user ratings of each energy refueling station in the energy refueling station set, recommend an optimal energy refueling station to the user after weighted scoring, and automatically add the location corresponding to the optimal energy refueling station as a waypoint, effectively improving the intelligence level of the vehicle.

[0041] Specifically, if Figure 2As shown, the embodiment of the present application can calculate the maximum distance that a vehicle can travel with a remaining capacity of x%, and filter out gas stations / charging stations within the target range of the location point corresponding to this distance; then, the dynamic traffic flow data of the gas stations / charging stations searched in the previous step can be obtained, and the gas stations / charging stations with large traffic flow at the estimated arrival time point can be eliminated; then, the remaining gas stations / charging stations are sorted according to historical user ratings, and the gas stations / charging stations with the highest ratings are output; finally, this gas station / charging station is added to the route planning as the waypoint closest to the starting point, thereby improving the safety and economy of travel.

[0042] Optionally, in one embodiment of the present application, an updated navigation path is obtained so that the vehicle travels according to the updated navigation path, including: sending the updated navigation path to a preset terminal, and prompting the user at the preset terminal whether to change the updated navigation path; if the user confirms to change the updated navigation path, controlling the vehicle to travel according to the updated navigation path.

[0043] In some embodiments, the embodiments of the present application can send the updated navigation path to the vehicle's central control screen via a pop-up window and prompt the user whether to change the updated navigation path. If the user confirms to change the updated navigation path, the updated navigation path will be automatically set as the current execution route, and the vehicle will be controlled to drive according to the updated navigation path. Therefore, by pushing the updated navigation path to the user terminal and implementing interactive path switching control, the embodiments of the present application not only improve the flexibility and safety of path planning, but also enhance the human-machine collaborative experience, ensuring that users make the best travel decisions under the premise of being fully informed.

[0044] It should be noted that the preset terminal can be set by those skilled in the art and is not specifically limited here.

[0045] Optionally, in one embodiment of the present application, after obtaining the updated navigation path and allowing the vehicle to travel according to the updated navigation path, it also includes: obtaining the actual remaining mileage of the vehicle when it is detected that the vehicle has traveled to the target energy supply station and has completed energy replenishment; determining a new energy supply station based on the actual remaining mileage, energy consumption curve and minimum energy supply remaining amount; sending the navigation path information corresponding to the new energy supply station to a preset terminal, and displaying the navigation path information on the preset terminal.

[0046] As a possible implementation method, the embodiment of the present application can detect that the vehicle has reached the target energy supply station and has completed energy supply, such as charging or refueling. The present application can also execute a subsequent dynamic route optimization process, that is, obtain the actual remaining mileage of the vehicle, and re-evaluate whether refueling is needed in the subsequent journey based on the actual remaining mileage, energy consumption curve and minimum energy supply remaining amount, and determine a new energy supply station. The navigation route information corresponding to the new energy supply station, such as the station location, estimated arrival time, remaining mileage comparison and other information, is sent to the vehicle's central control screen in the form of a pop-up window for user reference and confirmation. Through real-time perception of the status after energy replenishment and route replanning, closed-loop control of energy management of the entire journey is achieved, which significantly improves the continuity, safety and intelligence level of travel.

[0047] According to the vehicle navigation route planning method proposed in the embodiment of the present application, the target position point corresponding to the maximum driving distance of the vehicle in the target navigation route can be determined based on the vehicle's current energy remaining amount, energy consumption curve and the minimum energy supply remaining amount preset by the user. Then, the energy supply station set within the target range is determined based on the target position point, and the target energy supply station that meets the preset supply conditions is determined based on the energy supply station set. The target energy supply station is added to the target navigation route to obtain an updated navigation route, so that the vehicle travels according to the updated navigation route, effectively improving the real-time and accuracy of navigation route planning. As a result, the problems of the related art of recommending energy supply stations based on a single factor, lacking dynamic analysis of complex routes, and reducing the real-time and accuracy of navigation route planning are solved.

[0048] Next, a device for vehicle navigation path planning proposed in accordance with an embodiment of the present application will be described with reference to the accompanying drawings.

[0049] Figure 3 It is a block diagram of a device for vehicle navigation path planning according to an embodiment of the present application.

[0050] like Figure 3 As shown, the vehicle navigation path planning device 10 includes: an acquisition module 100, a determination module 200 and a planning module 300.

[0051] Specifically, the acquisition module 100 is used to acquire the target navigation path and the current remaining energy of the vehicle, and determine the energy consumption curve of the vehicle according to the target navigation path.

[0052] The determination module 200 is used to determine the target position point corresponding to the maximum driving distance of the vehicle in the target navigation path based on the current remaining energy, the energy consumption curve and the minimum remaining energy supply set by the user.

[0053] The planning module 300 is used to determine the set of energy supply stations within the target range based on the target location point, and determine the target energy supply station that meets the preset supply conditions based on the set of energy supply stations, and add the target energy supply station to the target navigation path to obtain an updated navigation path, so that the vehicle can travel according to the updated navigation path.

[0054] Optionally, in one embodiment of the present application, the device 10 of the embodiment of the present application further includes: a judgment module, a first processing module and a second processing module.

[0055] Among them, the judgment module is used to determine whether the user has not set the minimum energy supply remaining amount before determining the target position point corresponding to the maximum driving distance of the vehicle in the target navigation path based on the current energy remaining amount, the energy consumption curve and the minimum energy supply remaining amount pre-set by the user.

[0056] The first processing module is used to determine, before a target position point corresponding to a maximum driving distance of the vehicle in a target navigation path based on the current energy remaining amount, an energy consumption curve and a minimum energy supply remaining amount pre-set by the user, if the user has not set a minimum energy supply remaining amount, obtain the average energy remaining amount of the vehicle when energy is recharged within a target number of times, and use the average energy remaining amount as the minimum energy supply remaining amount.

[0057] The second processing module is used to determine, before determining a target position point corresponding to a maximum driving distance of the vehicle in a target navigation path based on the current energy remaining amount, the energy consumption curve and the minimum energy supply remaining amount pre-set by the user, if the user has set an expected energy supply remaining amount for the vehicle, the expected energy supply remaining amount will be used as the minimum energy supply remaining amount.

[0058] Optionally, in one embodiment of the present application, the planning module 300 includes: an acquisition unit and a determination unit.

[0059] The acquisition unit is used to obtain the actual distance, estimated traffic volume and historical user ratings of each energy refueling station in the energy refueling station set.

[0060] The determination unit is used to determine the target energy refueling station that meets the preset refueling conditions based on the actual distance, estimated traffic flow and historical user ratings of each energy refueling station.

[0061] Optionally, in one embodiment of the present application, the planning module 300 includes: a sending unit and a control unit.

[0062] The sending unit is used to send the updated navigation path to the preset terminal, and prompt the user on the preset terminal whether to change the updated navigation path.

[0063] The control unit is used to control the vehicle to travel according to the updated navigation route when the user confirms to replace the updated navigation route.

[0064] Optionally, in one embodiment of the present application, the apparatus 10 of the embodiment of the present application further includes: an acquisition module, a determination module, and a sending module.

[0065] Among them, the acquisition module is used to obtain the actual remaining mileage of the vehicle after obtaining the updated navigation route so that the vehicle travels according to the updated navigation route and detects that the vehicle has traveled to the target energy supply station and has completed energy supply.

[0066] The determination module is used to determine a new energy refueling station based on the actual remaining mileage, the energy consumption curve and the minimum energy refueling remaining amount after obtaining the updated navigation route so that the vehicle travels according to the updated navigation route.

[0067] The sending module is used to send the navigation path information corresponding to the new energy supply station to the preset terminal after obtaining the updated navigation path so that the vehicle can travel according to the updated navigation path, and display the navigation path information on the preset terminal.

[0068] It should be noted that the aforementioned explanation of the vehicle navigation path planning method embodiment is also applicable to the vehicle navigation path planning device of this embodiment, and will not be repeated here.

[0069] According to the device for vehicle navigation route planning proposed in the embodiment of the present application, the target position point corresponding to the maximum driving distance of the vehicle in the target navigation route can be determined based on the vehicle's current energy remaining amount, energy consumption curve and the minimum energy supply remaining amount preset by the user. Then, the energy supply station set within the target range is determined based on the target position point, and the target energy supply station that meets the preset supply conditions is determined based on the energy supply station set. The target energy supply station is added to the target navigation route to obtain an updated navigation route, so that the vehicle travels according to the updated navigation route, effectively improving the real-time and accuracy of navigation route planning. As a result, the problems of related technologies such as recommending energy supply stations based on a single factor, lacking dynamic analysis of complex routes, and reducing the real-time and accuracy of navigation route planning are solved.

[0070] Figure 4 A schematic diagram of the structure of a vehicle provided in an embodiment of the present application. The vehicle may include:

[0071] Memory 401 , processor 402 , and computer programs stored in the memory 401 and executable on the processor 402 .

[0072] When the processor 402 executes the program, the vehicle navigation path planning method provided in the above embodiment is implemented.

[0073] Furthermore, the vehicle further comprises:

[0074] The communication interface 403 is used for communication between the memory 401 and the processor 402 .

[0075] The memory 401 is used to store computer programs that can be run on the processor 402 .

[0076] The memory 401 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.

[0077] If the memory 401, the processor 402, and the communication interface 403 are implemented independently, the communication interface 403, the memory 401, and the processor 402 can be connected to each other via a bus and communicate with each other. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 4 Only one thick line is used in the diagram, but this does not mean that there is only one bus or one type of bus.

[0078] Optionally, in a specific implementation, if the memory 401 , the processor 402 and the communication interface 403 are integrated on a chip, the memory 401 , the processor 402 and the communication interface 403 can communicate with each other through an internal interface.

[0079] The processor 402 may be a central processing unit (CPU), an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present application.

[0080] This embodiment also provides a computer-readable storage medium having a computer program stored thereon, which implements the above vehicle navigation path planning method when the program is executed by a processor.

[0081] This embodiment also provides a computer program product, including a computer program, which, when executed, is used to implement the above vehicle navigation path planning method.

[0082] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or N embodiments or examples in a suitable manner. In addition, those skilled in the art can combine and combine different embodiments or examples described in this specification and features of different embodiments or examples without contradiction.

[0083] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be understood to indicate or imply relative importance or implicitly specify the number of technical features indicated. Thus, a feature specified as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of this application, "N" means at least two, for example, two, three, etc., unless otherwise specifically defined.

[0084] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, fragment or portion of code comprising one or N executable instructions for implementing a custom logical function or process step, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may be performed in a different order than shown or discussed, including performing functions in a substantially simultaneous manner or in a reverse order depending on the functions involved, which should be understood by those skilled in the art to which the embodiments of the present application pertain.

[0085] The logic and / or steps represented in the flowcharts or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing the logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (e.g., a computer-based system, a system including a processor, or other system that can fetch and execute instructions from an instruction execution system, apparatus, or device). For purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transport a program for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include the following: an electrical connection with one or N wires (electronic devices), a portable computer disk cartridge (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), a fiber optic device, and a portable compact disc read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program can be obtained electronically by optically scanning the paper or other medium and then editing, interpreting or processing it in other suitable ways as necessary, and then storing it in a computer memory.

[0086] It should be understood that various parts of the present application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiment, the N steps or methods can be implemented using software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented using hardware, as in another embodiment, it can be implemented using any one or a combination of the following technologies known in the art: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application-specific integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0087] Those skilled in the art will understand that all or part of the steps in the method of the above embodiment can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable storage medium. When the program is executed, it includes one or a combination of the steps of the method embodiment.

[0088] In addition, the functional units in the various embodiments of the present application may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into a module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0089] The storage medium mentioned above may be a read-only memory, a magnetic disk, or an optical disk, etc. Although the embodiments of the present application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present application. Persons skilled in the art may make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present application.

Claims

1. A method for vehicle navigation path planning, characterized in that: The following steps are involved: Obtaining a target navigation path and a current remaining energy amount of the vehicle, and determining an energy consumption curve of the vehicle according to the target navigation path; Determining a target location point corresponding to a maximum travel distance of the vehicle in the target navigation route based on the current remaining energy amount, the energy consumption curve, and a minimum remaining energy amount preset by a user; Based on the target location point, a set of energy supply stations within the target range is determined, and a target energy supply station that meets preset supply conditions is determined based on the set of energy supply stations, and the target energy supply station is added to the target navigation path to obtain an updated navigation path, so that the vehicle travels according to the updated navigation path.

2. The method according to claim 1, characterized in that Before determining a target position point corresponding to a maximum travel distance of the vehicle in the target navigation path based on the current remaining energy amount, the energy consumption curve, and a minimum remaining energy amount preset by a user, the method further includes: Determining whether the user has not set the minimum energy supply remaining amount; If the user has not set the minimum energy supply remaining amount, obtaining the average energy remaining amount of the vehicle when the vehicle performs energy replenishment within the target number of times, and using the average energy remaining amount as the minimum energy supply remaining amount; If the user has set an expected remaining energy supply amount for the vehicle, the expected remaining energy supply amount is used as the minimum remaining energy supply amount.

3. The method according to claim 1, characterized in that The step of determining a target energy refueling station that meets a preset refueling condition according to the energy refueling station set includes: Obtaining the actual distance, estimated traffic volume, and historical user ratings of each energy refueling station in the energy refueling station set; The target energy refueling station that meets the preset refueling conditions is determined based on the actual distance, estimated traffic flow and historical user ratings of each energy refueling station.

4. The method according to claim 1, wherein The obtaining of the updated navigation path so that the vehicle travels according to the updated navigation path includes: Sending the updated navigation path to a preset terminal, and prompting the user on the preset terminal whether to change the updated navigation path; In a case where the user confirms to change the updated navigation route, the vehicle is controlled to travel according to the updated navigation route.

5. The method according to claim 1, characterized in that After obtaining the updated navigation path and causing the vehicle to travel according to the updated navigation path, the method further includes: When it is detected that the vehicle has traveled to the target energy refueling station and has completed energy refueling, obtaining the actual remaining mileage of the vehicle; determining a new energy refueling station based on the actual remaining mileage, the energy consumption curve, and the minimum remaining energy supply; The navigation path information corresponding to the new energy supply station is sent to the preset terminal, and the navigation path information is displayed on the preset terminal.

6. A vehicle navigation path planning device, characterized in that: include: an acquisition module, configured to acquire a target navigation path and a current remaining energy amount of the vehicle, and determine an energy consumption curve of the vehicle according to the target navigation path; a determination module, configured to determine a target location point corresponding to a maximum travel distance of the vehicle in the target navigation path based on the current remaining energy amount, the energy consumption curve, and a minimum remaining energy amount preset by a user; A planning module is used to determine a set of energy supply stations within a target range based on the target location point, and determine a target energy supply station that meets preset supply conditions based on the set of energy supply stations, and add the target energy supply station to the target navigation path to obtain an updated navigation path, so that the vehicle travels according to the updated navigation path.

7. The device according to claim 6, characterized in that Also includes: a determination module, configured to determine whether the user has not set the minimum energy supply remaining amount before determining a target location point corresponding to a maximum travel distance of the vehicle in the target navigation route based on the current energy remaining amount, the energy consumption curve, and the minimum energy supply remaining amount preset by the user; a first processing module configured to, before determining a target location point corresponding to a maximum travel distance of the vehicle in the target navigation route based on the current remaining energy amount, the energy consumption curve, and a minimum remaining energy amount preset by the user, obtain an average remaining energy amount of the vehicle during energy recharges within a target number of times if the user has not set the minimum remaining energy amount, and use the average remaining energy amount as the minimum remaining energy amount; The second processing module is used to determine, before the target position point corresponding to the maximum driving distance of the vehicle in the target navigation path based on the current energy remaining amount, the energy consumption curve and the minimum energy supply remaining amount pre-set by the user, if the user has set an expected energy supply remaining amount for the vehicle, use the expected energy supply remaining amount as the minimum energy supply remaining amount.

8. A vehicle, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the vehicle navigation path planning method according to any one of claims 1 to 5.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: The program is executed by a processor to implement the vehicle navigation path planning method as described in any one of claims 1 to 5.

10. A computer program product comprising a computer program, characterized in that The computer program is executed by a processor to implement the vehicle navigation path planning method according to any one of claims 1 to 5.

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