Electric vehicle navigation method and apparatus based on battery charge

Abstract

The application provides a battery power-based electric vehicle navigation method and device. The method is applied to the electric vehicle navigation technical field, and comprises the following steps: in response to a user terminal navigation request for a destination, a first navigation path is generated; if L xh ≤ k x L dy , the user terminal is pushed with basic information corresponding to each charging station and remaining battery power corresponding to the charging station after arrival; wherein L xh is the cruising distance of a target electric vehicle, L dy is the distance corresponding to the first navigation path, and k is a coefficient; in response to a user terminal request for a first target charging station, the first navigation path is updated to obtain a second navigation path; if the target electric vehicle does not go to the first target charging station, the second navigation path is automatically updated to obtain a third navigation path for going through a second target charging station. In this way, the accuracy of electric vehicle navigation can be improved.

Description

Technical Field

[0001] This invention relates to the field of electric vehicle navigation technology, and in particular to an electric vehicle navigation method and apparatus based on battery power. Background Technology

[0002] Electric vehicle navigation methods based on battery power provide drivers with an intelligent navigation strategy by combining real-time battery power information with factors such as vehicle energy consumption and the location of charging facilities. This allows drivers to maximize battery energy utilization while minimizing the risk of being unable to drive due to insufficient battery power. By monitoring battery power in real time and combining it with navigation algorithms, drivers can receive suggestions on charging stations and energy consumption information along the route, making it easier to plan their trips and reducing inconvenience and anxiety caused by insufficient battery power. By rationally planning the selection of charging stations and the scheduling of charging times, drivers can minimize charging time while ensuring the completion of their trip, thereby improving driving efficiency and saving time.

[0003] Currently, existing electric vehicle navigation methods typically recommend navigation routes based on the user's destination, without taking into account the battery level of the electric vehicle, resulting in lower accuracy for electric vehicle navigation. Summary of the Invention

[0004] This invention provides a method and apparatus for electric vehicle navigation based on battery power.

[0005] According to a first aspect of the present invention, a method for electric vehicle navigation based on battery power is provided. The method includes:

[0006] In response to the user's navigation request for the destination, a first navigation path is generated;

[0007] If L xh ≤k×L dy Then, the basic information of each charging station and the remaining battery power after arriving at the charging station are pushed to the user terminal; where L xh For the target electric vehicle's driving range, L dy is the distance corresponding to the first navigation path, and k is a coefficient;

[0008] In response to the user's request for a route to the first target charging station, the first navigation path is updated to obtain a second navigation path;

[0009] If the target electric vehicle does not proceed to the first target charging station, the second navigation path is automatically updated to obtain a third navigation path that passes through the second target charging station.

[0010] Furthermore, the basic information includes: the total number of charging piles, the number of available charging piles, the charging pile fee standard, the total number of parking spaces, and the number of available parking spaces.

[0011] Furthermore, the step of pushing basic information about each charging station and the remaining battery power after arriving at the charging station to the user terminal includes:

[0012] Based on the location information of each charging station and the location information of the target electric vehicle, calculate the remaining battery capacity Q of the target electric vehicle when it reaches the charging station. sy ;

[0013] If Q sy If <k2×Q0, then the basic information of the corresponding charging station will not be pushed to the user terminal; Q0 is the remaining battery power threshold.

[0014] Furthermore: if Q sy If k2×Q0 is greater than or equal to k2×Q0, then the basic information of the corresponding charging station is pushed to the user terminal, specifically:

[0015] Get the total number M of charging piles at the i-th charging station. zi Number of available charging stations (M) ki Charging station pricing standard B zi Total number of parking spaces M ti And the number of available parking spaces M xi ;

[0016] Calculate the push score T for the i-th charging station. sdfi The calculation formula is as follows:

[0017]

[0018] Among them, S1 is the score weight for pushing the total number of charging piles; S2 is the score weight for pushing the number of available charging piles; S3 is the score weight for pushing the charging pile fee standard; S4 is the score weight for pushing the total number of parking spaces; and S5 is the score weight for pushing the number of available parking spaces.

[0019] The push scores are sorted from highest to lowest, and the charging piles corresponding to the top N push scores are pushed to the user terminal; N is a positive integer greater than 10.

[0020] Furthermore, the process of determining whether the target electric vehicle is heading to the first target charging station includes:

[0021] Obtain the real-time distance between the target electric vehicle and the first target charging station;

[0022] When the real-time distance reaches its minimum value

[0023] If the real-time distance is greater than the preset distance, it is determined that the target electric vehicle has not gone to the first target charging station;

[0024] If the real-time distance is less than or equal to the preset distance, and the real-time distance remains less than or equal to the preset distance for a period of time longer than the preset time, then it is determined that the target electric vehicle is heading to the first target charging station.

[0025] Furthermore, the method also includes:

[0026] Before responding to a user's navigation request for a destination, collect the battery level of the target electric vehicle;

[0027] If the battery level is ≤ D1, a warning message will be continuously issued, and the speaker will continuously emit a buzzer reminder.

[0028] If D1 < battery level < D2, a warning message of preset duration will be issued, and the speaker will be controlled to emit a buzzer reminder of preset duration.

[0029] Furthermore: if the battery level is less than D2, a set of charging station information is pushed to the user terminal, and a fourth navigation path is generated in response to the user terminal's navigation request for the third target charging station in the set of charging station information.

[0030] According to a second aspect of the present invention, a navigation device for an electric vehicle based on battery power is provided. The device includes:

[0031] The first determining module is used to generate a first navigation path in response to the user's navigation request for the destination;

[0032] The push module is used for L xh ≤k×L dy Then, the basic information of each charging station and the remaining battery power after arriving at the charging station are pushed to the user terminal; where L xh For the target electric vehicle's driving range, L dy is the distance corresponding to the first navigation path, and k is a coefficient;

[0033] The second determining module is used to update the first navigation path in response to the user's request for a route to the first target charging station, and obtain a second navigation path.

[0034] The third determining module is used to automatically update the second navigation path and obtain a third navigation path that passes through the second target charging station if the target electric vehicle does not go to the first target charging station.

[0035] According to a third aspect of the present invention, an electronic device is provided. The electronic device includes a memory and a processor, wherein the memory stores a computer program, and the processor executes the program to implement the method.

[0036] According to a fourth aspect of the present invention, a computer-readable storage medium is provided having a computer program stored thereon, which, when executed by a processor, implements the method.

[0037] This invention generates a first navigation path in response to a user's navigation request for a destination. If Lxh ≤ k × Ldy, it pushes basic information about each charging station and the remaining battery power upon arrival at the charging station to the user. Here, Lxh is the target electric vehicle's range, Ldy is the distance corresponding to the first navigation path, and k is a coefficient. In response to a user's request for a route to the first target charging station, the first navigation path is updated to obtain a second navigation path. If the target electric vehicle does not proceed to the first target charging station, the second navigation path is automatically updated to obtain a third navigation path that passes through the second target charging station. This invention pushes corresponding navigation paths to the user based on the electric vehicle's battery power, making the navigation paths more suitable for electric vehicles and improving the accuracy of electric vehicle navigation.

[0038] It should be understood that the description in the Summary of the Invention is not intended to limit the key or essential features of the embodiments of the present invention, nor is it intended to restrict the scope of the invention. Other features of the invention will become readily apparent from the following description. Attached Figure Description

[0039] The above and other features, advantages, and aspects of the various embodiments of the present invention will become more apparent from the accompanying drawings and the following detailed description. The drawings are provided for a better understanding of the invention and are not intended to limit the scope of the invention. In the drawings, the same or similar reference numerals denote the same or similar elements, wherein:

[0040] Figure 1 A flowchart of an electric vehicle navigation method based on battery power according to an embodiment of the present invention is shown;

[0041] Figure 2 A block diagram of an electric vehicle navigation device based on battery power according to an embodiment of the present invention is shown;

[0042] Figure 3 A block diagram of an exemplary electronic device capable of implementing embodiments of the present invention is shown. Detailed Implementation

[0043] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0044] Furthermore, the term "and / or" in this article is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. Additionally, the character " / " in this article generally indicates that the preceding and following related objects have an "or" relationship.

[0045] Figure 1 A flowchart of an electric vehicle navigation method 100 based on battery power according to an embodiment of the present invention is shown. The method 100 includes:

[0046] S101, in response to the user's navigation request for the destination, generates the first navigation path.

[0047] In some embodiments, the process of generating a first navigation path may include: receiving a navigation request from a user, including the geographic location information of the origin and destination; obtaining relevant map data based on the geographic location information in the request, which may include road networks, traffic conditions, landmark locations, etc.; selecting a suitable path planning algorithm based on the characteristics of the navigation request (such as distance, expected time, traffic conditions), common algorithms include Dijkstra's algorithm, A* algorithm, etc.; executing the selected path planning algorithm to calculate the first navigation path from the origin to the destination, which should take into account real-time traffic conditions and road limitations to ensure that the generated path is practically feasible; visualizing the calculated first navigation path in map form and providing feedback to the user, typically including information such as the road name, turn instructions, estimated time and distance, so that the user can understand and accept the suggested navigation path.

[0048] S102, if L xh ≤k×L dy Then, the basic information of each charging station and the remaining battery power after arriving at the charging station are pushed to the user terminal; where L xh For the target electric vehicle's driving range, L dy is the distance corresponding to the first navigation path, and k is a coefficient.

[0049] In some embodiments, the basic information may be the total number of charging piles, the number of available charging piles, the charging pile charging fee standard, the total number of parking spaces, or the number of available parking spaces. According to embodiments of the present invention, by pushing basic information about charging stations, such as the total number of charging piles, the number of available piles, the charging fee standard, and parking space availability, users can obtain necessary information in a timely manner, thus making it easier to plan their trips and choose suitable charging stations, improving user convenience and overall satisfaction. Accurate charging pile information can help users avoid wasting time due to occupied charging piles, and can also reduce charging waiting time and costs. Knowing the parking space availability can help users quickly find suitable parking spaces. By pushing real-time data, the system can more effectively manage and schedule charging facilities, optimizing facility utilization and operational efficiency, thereby improving the availability and efficiency of the entire charging network. Users can make smarter decisions based on the pushed detailed information, such as choosing the nearest available charging pile or the charging station with the most free parking spaces, thereby optimizing trip planning and time arrangements. Providing accurate and reliable information helps build user trust in service providers, enhancing the brand's market competitiveness and image.

[0050] In some embodiments, pushing basic information about each charging station and the remaining battery power after arriving at the charging station to the user terminal includes: calculating the remaining battery power Q of the target electric vehicle when it arrives at the charging station based on the location information of each charging station and the location information of the target electric vehicle. sy If Q sy If <k2×Q0, then the basic information of the corresponding charging station will not be pushed to the user terminal; Q0 is the remaining battery power threshold.

[0051] In some embodiments, if Q sy If k2×Q0, then the basic information of the corresponding charging station is pushed to the user terminal, specifically: obtaining the total number M of charging piles of the i-th charging station. zi Number of available charging stations (M) ki Charging station pricing standard B zi Total number of parking spaces M ti And the number of available parking spaces M xi Calculate the push score T for the i-th charging station. sdfi The calculation formula is as follows:

[0052]

[0053] Wherein, S1 is the total number of charging piles pushed for score weight; S2 is the number of available charging piles pushed for score weight; S3 is the charging pile fee standard pushed for score weight; S4 is the total number of parking spaces pushed for score weight; S5 is the number of available parking spaces pushed for score weight; the push scores are sorted from high to low, and the charging piles corresponding to the top N push scores are pushed to the user terminal; N is a positive integer greater than 10.

[0054] S103, in response to the user's request for a route to the first target charging station, the first navigation path is updated to obtain a second navigation path.

[0055] S104, if the target electric vehicle does not go to the first target charging station, the second navigation path is automatically updated to obtain a third navigation path that passes through the second target charging station.

[0056] In some embodiments, the process of determining whether a target electric vehicle is heading to the first target charging station includes: obtaining the real-time distance between the target electric vehicle and the first target charging station; when the real-time distance reaches a minimum value, if the real-time distance at this time is greater than a preset distance, then it is determined that the target electric vehicle is not heading to the first target charging station; if the real-time distance at this time is less than or equal to the preset distance, and the time during which the real-time distance remains less than or equal to the preset distance is greater than a preset time, then it is determined that the target electric vehicle is heading to the first target charging station. According to embodiments of the present invention, by acquiring the real-time distance between the target electric vehicle and the first target charging station, the accuracy and timeliness of the data are ensured. This accuracy is crucial for deciding whether the target electric vehicle should proceed to the charging station, enabling users and the system to make immediate adjustments and decisions. By comparing the relationship between the real-time distance and the preset distance, and combining this with the duration for which the real-time distance remains less than or equal to the preset distance, the driving status of the target electric vehicle can be determined, which helps to predict user behavior in advance, thereby optimizing user experience and service efficiency. Accurately determining whether an electric vehicle is proceeding to the charging station can avoid unnecessary waiting or misunderstandings for users, saving users time and costs, improving user experience, and helping to improve the utilization and efficiency of charging facilities, especially during peak hours or under specific demand conditions. Intelligent judgment based on real-time distance and time not only supports individual user decisions but also provides data-driven decision support for system managers and operators, helping to optimize the layout and management strategies of charging facilities, improve overall service levels and market competitiveness. Through the analysis and feedback of real-time data, preset parameters can be continuously optimized and adjusted to adapt to changes in different scenarios and user needs, enhancing the flexibility and responsiveness of the system, and further improving service quality and user satisfaction.

[0057] In some embodiments, the method further includes: collecting the battery level of the target electric vehicle before responding to a user's navigation request for the destination; if the battery level is ≤10%, continuously issuing a warning message (e.g., low battery, please charge), and controlling the speaker to continuously emit a buzzer reminder; if 10% < battery level < 15%, issuing a warning message of a preset duration (e.g., issuing a "low battery, please charge" message for 5 seconds), and controlling the speaker to emit a buzzer reminder of a preset duration.

[0058] In some embodiments, if the battery level is less than 15%, a set of charging station information is pushed to the user terminal, and a fourth navigation path is generated in response to the user terminal's navigation request for a third target charging station in the set of charging station information.

[0059] According to an embodiment of the present invention, a first navigation path is generated in response to a user's navigation request for a destination; if L xh ≤k×L dy Then, the basic information of each charging station and the remaining battery power after arriving at the charging station are pushed to the user terminal; where L xh For the target electric vehicle's driving range, L dy Let k be the distance corresponding to the first navigation path and k be a coefficient. In response to a user's request for a route to the first target charging station, the first navigation path is updated to obtain a second navigation path. If the target electric vehicle does not proceed to the first target charging station, the second navigation path is automatically updated to obtain a third navigation path that passes through the second target charging station. This system pushes corresponding navigation paths to the user based on the electric vehicle's battery level, making the navigation paths more suitable for electric vehicles and improving the accuracy of electric vehicle navigation.

[0060] It should be noted that, for the sake of simplicity, the foregoing method embodiments are all described as a series of actions. However, those skilled in the art should understand that the present invention is not limited to the described order of actions, because according to the present invention, some steps can be performed in other orders or simultaneously. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are all optional embodiments, and the actions and modules involved are not necessarily essential to the present invention.

[0061] The above is an introduction to the method embodiments. The following describes the solution of the present invention further through device embodiments.

[0062] Figure 2 A block diagram of an electric vehicle navigation device 200 based on battery power according to an embodiment of the present invention is shown. The device 200 includes:

[0063] The first determining module 201 is used to generate a first navigation path in response to a user's navigation request for a destination;

[0064] Push module 202, used for if L xh ≤k×L dy Then, the basic information of each charging station and the remaining battery power after arriving at the charging station are pushed to the user terminal; where L xh For the target electric vehicle's driving range, L dy is the distance corresponding to the first navigation path, and k is a coefficient;

[0065] The second determining module 203 is used to update the first navigation path in response to the user's request for a route to the first target charging station, and obtain a second navigation path.

[0066] The third determining module 204 is used to automatically update the second navigation path and obtain a third navigation path that passes through the second target charging station if the target electric vehicle does not go to the first target charging station.

[0067] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working process of the described module can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0068] The acquisition, storage, and application of user personal information involved in the technical solution of this invention all comply with the provisions of relevant laws and regulations and do not violate public order and good morals.

[0069] According to embodiments of the present invention, the present invention also provides an electronic device and a readable storage medium.

[0070] Figure 3 A schematic block diagram of an electronic device 300 that can be used to implement embodiments of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device may also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the invention described and / or claimed herein.

[0071] Electronic device 300 includes a computing unit 301, which can perform various appropriate actions and processes according to a computer program stored in ROM 302 or a computer program loaded into RAM 303 from storage unit 308. RAM 303 can also store various programs and data required for the operation of electronic device 300. The computing unit 301, ROM 302, and RAM 303 are interconnected via bus 304. I / O interface 305 is also connected to bus 304.

[0072] Multiple components in electronic device 300 are connected to I / O interface 305, including: input unit 306, such as keyboard, mouse, etc.; output unit 307, such as various types of displays, speakers, etc.; storage unit 308, such as disk, optical disk, etc.; and communication unit 309, such as network card, modem, wireless transceiver, etc. Communication unit 309 allows electronic device 300 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0073] The computing unit 301 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of the computing unit 301 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various computing units running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. The computing unit 301 performs the various methods and processes described above, such as a battery-power-based electric vehicle navigation method. For example, in some embodiments, the battery-power-based electric vehicle navigation method can be implemented as a computer software program tangibly contained in a machine-readable medium, such as storage unit 308. In some embodiments, part or all of the computer program can be loaded and / or installed on the electronic device 300 via ROM 302 and / or communication unit 309. When the computer program is loaded into RAM 303 and executed by the computing unit 301, one or more steps of the battery-power-based electric vehicle navigation method described above can be performed. Alternatively, in other embodiments, the computing unit 301 may be configured to perform an electric vehicle navigation method based on battery power by any other suitable means (e.g., by means of firmware).

[0074] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SoCs), payload-programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0075] The program code used to implement the methods of the present invention can be written in any combination of one or more programming languages. This program code can be provided to a processor or controller of a general-purpose computer, special-purpose computer, or other programmable data processing device, such that when executed by the processor or controller, the program code causes the functions / operations specified in the flowcharts and / or block diagrams to be implemented. The program code can be executed entirely on the machine, partially on the machine, as a standalone software package partially on the machine and partially on a remote machine, or entirely on a remote machine or server.

[0076] In the context of this invention, a readable storage medium can be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, apparatus, or device. A readable storage medium can be a machine-readable signal medium or a machine-readable storage medium. A readable storage medium can be, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. More specific examples of readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0077] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the computer. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including voice input, speech input, or tactile input).

[0078] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as a data server), or computing systems that include middleware components (e.g., an application server), or computing systems that include frontend components (e.g., a user computer with a graphical user interface or web browser through which a user can interact with embodiments of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., a communication network). Examples of communication networks include local area networks (LANs), wide area networks (WANs), and the Internet.

[0079] Computer systems can include clients and servers. Clients and servers are generally located far apart and typically interact via communication networks. Client-server relationships are created by computer programs running on the respective computers and having a client-server relationship with each other. Servers can be cloud servers, servers in distributed systems, or servers incorporating blockchain technology.

[0080] It should be understood that the various forms of the process described above can be used to reorder, add, or delete steps. For example, the steps described in this invention can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this invention can be achieved, and this is not limited herein.

[0081] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.

Claims

1. A navigation method for electric vehicles based on battery power, characterized in that, include: In response to the user's navigation request for the destination, a first navigation path is generated; If L xh ≤k×L dy Then, based on the location information of each charging station and the location information of the target electric vehicle, the remaining battery power Q corresponding to the time when the target electric vehicle reaches the charging station is calculated. sy ; If Q sy If k2×Q0 ≥ k2×Q0, then the total number M of charging piles at the i-th charging station is obtained. zi Number of available charging stations (M) ki Charging station pricing standard B zi Total number of parking spaces M ti And the number of available parking spaces M xi； Q0 is the remaining battery power threshold; Calculate the push score T for the i-th charging station. sdfi The calculation formula is as follows: in, Apply a scoring weight to the total number of charging piles; Push score weights to the number of available charging stations; The scoring weights are assigned to the charging station pricing standards. The total number of parking spaces is assigned a score weight; The score weight is assigned to the number of available parking spaces; The push scores are sorted from highest to lowest, and the charging stations corresponding to the top N scores are pushed to the user's terminal; N is a positive integer greater than 10; where L xh For the target electric vehicle's driving range, L dy is the distance corresponding to the first navigation path, and k is a coefficient; In response to the user's request for a route to the first target charging station, the first navigation path is updated to obtain a second navigation path; If the target electric vehicle does not proceed to the first target charging station, the second navigation path is automatically updated to obtain a third navigation path that passes through the second target charging station.

2. The electric vehicle navigation method based on battery power according to claim 1, characterized in that, The method further includes: If Q sy If <k2×Q0, then the basic information of the corresponding charging station will not be pushed to the user terminal. The basic information includes: the total number of charging piles, the number of available charging piles, the charging pile charging fee standard, the total number of parking spaces, and the number of available parking spaces.

3. The electric vehicle navigation method based on battery power according to claim 1, characterized in that, The process of determining whether the target electric vehicle is heading to the first target charging station includes: Obtain the real-time distance between the target electric vehicle and the first target charging station; When the real-time distance reaches its minimum value If the real-time distance is greater than the preset distance, it is determined that the target electric vehicle has not gone to the first target charging station; If the real-time distance is less than or equal to the preset distance, and the real-time distance remains less than or equal to the preset distance for a period of time longer than the preset time, then it is determined that the target electric vehicle is heading to the first target charging station.

4. The electric vehicle navigation method based on battery power according to claim 1, characterized in that, The method further includes: Before responding to a user's navigation request for a destination, collect the battery level of the target electric vehicle; If the battery level is ≤ D1, a warning message will be continuously issued, and the speaker will continuously emit a buzzer reminder. If D1 < battery level < D2, a warning message of preset duration will be issued, and the speaker will be controlled to emit a buzzer reminder of preset duration.

5. The electric vehicle navigation method based on battery power according to claim 4, characterized in that: If the battery level is less than D2, a set of charging station information is pushed to the user terminal, and a fourth navigation path is generated in response to the user terminal's navigation request for the third target charging station in the set of charging station information.

6. A battery-power-based electric vehicle navigation device, comprising: The first determining module is used to generate a first navigation path in response to the user's navigation request for the destination; The push module is used for L xh ≤k×L dy Then, based on the location information of each charging station and the location information of the target electric vehicle, the remaining battery power Q corresponding to the time when the target electric vehicle reaches the charging station is calculated. sy If Q sy If k2×Q0 ≥ k2×Q0, then the total number M of charging piles at the i-th charging station is obtained. zi Number of available charging stations (M) ki Charging station pricing standard B zi Total number of parking spaces M ti And the number of available parking spaces M xi； Q0 is the remaining battery power threshold; Calculate the push score T for the i-th charging station. sdfi The calculation formula is as follows: in, Apply a scoring weight to the total number of charging piles; Push score weights to the number of available charging stations; The scoring weights are assigned to the charging station pricing standards. The total number of parking spaces is assigned a score weight; The number of available parking spaces is used to push a score weight; the push scores are sorted from high to low, and the charging piles corresponding to the top N push scores are pushed to the user terminal; N is a positive integer greater than 10; where L xh For the target electric vehicle's driving range, L dy is the distance corresponding to the first navigation path, and k is a coefficient; The second determining module is used to update the first navigation path in response to the user's request for a route to the first target charging station, and obtain a second navigation path. The third determining module is used to automatically update the second navigation path and obtain a third navigation path that passes through the second target charging station if the target electric vehicle does not go to the first target charging station.

7. An electronic device, comprising: At least one processor; And a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-5.

8. A non-transitory computer-readable storage medium storing computer instructions, wherein, The computer instructions are used to cause the computer to perform the method according to any one of claims 1-5.

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