Charging supplement method and system in automobile trip

Abstract

The present application relates to the technical field of automobile energy supplement, in particular to a charging energy supplement method and system in automobile travel, the charging energy supplement method in automobile travel comprises obtaining travel information of a vehicle; searching for charging stations in a surrounding area of a route in the travel information, screening the searched charging stations to eliminate stations not meeting predetermined conditions, to obtain candidate charging stations; scoring the candidate charging stations and selecting at least one target charging station; adding the target charging station as a navigation passing point to update the route and guide the vehicle to charge. The present application can solve the problem of charging range anxiety.

Description

Technical Field

[0001] This invention relates to the field of automotive energy replenishment technology, specifically to a method and system for charging and replenishing energy during a vehicle's journey. Background Technology

[0002] With the rapid development of the new energy vehicle industry, the number of new energy vehicles in my country continues to rise. New energy vehicles are now widely used not only for daily urban commuting but also increasingly for long-distance travel. Especially during holidays, long-distance travel on highways has become a significant scenario for many car owners. However, the accompanying demand for vehicle charging has increased dramatically, and the existing charging system has revealed many pain points in dealing with such peak scenarios.

[0003] Highway service areas are traditional charging and refueling points for long-distance travel. However, due to the limited number of charging stations in service areas, the influx of a large number of new energy vehicles during peak traffic periods such as holidays often leads to excessively long waiting times at charging stations. Some users are even unable to complete their charging in time due to the long wait, seriously affecting travel efficiency and experience.

[0004] Social charging stations are often located near highway toll stations, such as those in commercial complexes, logistics parks, or gas stations. These stations are generally easier to access and have less queuing pressure compared to highway service areas, making them potentially high-quality charging options. However, most current charging navigation and replenishment services focus primarily on charging stations within highway service areas, lacking effective identification and integration of the aforementioned social charging resources around toll stations. This limitation often prevents users from knowing about high-quality charging stations near highway exits, thus missing out on more convenient charging opportunities.

[0005] Furthermore, many existing charging solutions still primarily display static information, lacking strategies for dynamic optimization based on real-time conditions. They often fail to fully utilize multi-dimensional data such as vehicle status, real-time road conditions, and regional traffic density to adjust charging station recommendations or route planning. In scenarios like highway travel during holidays, traffic flow and charging demand can change drastically in a short period. Without a dynamic adjustment mechanism, static charging arrangements cannot effectively adapt to the complex and ever-changing travel environment, making it difficult to alleviate users' charging anxiety in a timely manner.

[0006] Meanwhile, during long-distance driving in holidays, drivers often need to frequently plan multiple charging stops. Without efficient and reliable charging route planning support, users have to find and decide when and where to charge themselves. This process is not only time-consuming and energy-intensive, but also, due to information asymmetry (such as difficulty in timely understanding the queuing status and availability of each charging station), users can easily fall into a charging dilemma, further exacerbating charging anxiety during long-distance travel. Summary of the Invention

[0007] In view of the shortcomings of the prior art described above, the purpose of this invention is to provide a charging and energy replenishment method for automobiles during travel, which can solve at least one of the technical problems mentioned in the background art.

[0008] The first aspect of this invention provides a method for charging and replenishing energy during a vehicle's journey, characterized in that it includes: Obtain the vehicle's trip information; search for charging stations in the surrounding area of ​​the route from the trip information, filter the found charging stations to remove those that do not meet the predetermined conditions, and obtain candidate charging stations; score the candidate charging stations and select at least one target charging station; add the target charging station as a navigation waypoint to update the route and guide the vehicle to charging.

[0009] As an optional implementation, obtaining the vehicle's trip information includes: Obtain the vehicle's current location and destination; plan at least one candidate route from the current location to the destination using a navigation system; select one of the at least one candidate route as the vehicle's route information.

[0010] As an optional implementation, the step of searching for charging stations in the surrounding area of ​​the route from the trip information, and filtering the searched charging stations to remove those that do not meet predetermined conditions, to obtain candidate charging stations, includes: A predetermined data search algorithm is used to retrieve map data and charging station information related to the trip information to determine a candidate list of charging stations in the area surrounding the trip information; the candidate list of charging stations is then filtered according to predetermined filtering conditions, and charging stations that do not meet the filtering conditions are eliminated.

[0011] As an optional implementation, scoring the candidate charging stations and selecting at least one target charging station includes: A comprehensive score is calculated for each candidate charging station according to a predetermined weighting algorithm; based on the comprehensive score, at least one candidate charging station is selected as the target charging station.

[0012] As an optional implementation, when the trip information includes a high-speed holiday travel scenario, all charging stations within a predetermined radius of each highway toll station on the trip information are searched; only charging stations that are open to the public and not located in highway service areas are retained as candidate charging stations.

[0013] As an optional implementation, the step of scoring candidate charging stations and selecting at least one target charging station includes: Obtain the actual travel distance, number of available fast charging piles, total number of fast charging piles, and maximum power for each candidate charging station; Each indicator is mapped to its corresponding base score; The comprehensive score is obtained by weighting and summing the basic scores according to the preset weighting coefficients; The candidate charging stations are ranked based on the comprehensive score, and the charging stations with the highest scores are selected from the ranking results by user confirmation and / or directly selected as the target charging stations.

[0014] As an optional implementation, the charging and recharging method during the vehicle trip further includes: providing a soft switch on the vehicle navigation interface to switch the display of a list of recommended charging station information along the trip information; when the user turns on the soft switch, the navigation interface displays the location distribution of the recommended charging stations on the route and / or a route overview.

[0015] As an optional implementation, when a user selects a recommended charging station as the target charging station on the navigation interface, the target charging station is automatically set as a navigation waypoint, and the trip information is replanned based on the navigation waypoint to guide the vehicle to the target charging station for charging.

[0016] A second aspect of the present invention provides a charging and energy replenishment system for automobiles during travel, comprising: The trip information acquisition unit is used at least to acquire the vehicle's trip information using the navigation system; The candidate station filtering unit is used at least to search for charging stations in the area surrounding the route in the trip information, and to filter the found charging stations to remove those that do not meet the predetermined conditions, so as to obtain candidate charging stations. The target site selection unit is used to score the candidate charging stations and select at least one target charging station. The trip information update unit is used at least to add the target charging station as a navigation waypoint to update the route and guide the vehicle to the charging station.

[0017] A third aspect of the present invention provides an electronic device, comprising: at least one processor; and at least one memory communicatively connected to the processor, wherein: the memory stores program instructions executable by the processor, and the processor invokes the program instructions to perform the steps of the charging and recharging method for a vehicle during a journey as described in the first aspect of the present invention.

[0018] A fourth aspect of the present invention provides a readable storage medium storing a computer program that is executed by a processor as the steps of the charging and recharging method for a vehicle during a journey as described in the first aspect of the present invention.

[0019] This invention addresses the pain points of energy replenishment for long-distance travel of new energy vehicles, especially during high-speed holiday travel. It constructs a closed-loop energy replenishment solution that covers the entire process from obtaining trip information, accurately selecting charging stations, multi-dimensional weighted scoring, to automatic updating of navigation routes. This solution fundamentally solves the technical problems of low accuracy in energy replenishment recommendations, poor scenario adaptability, and cumbersome user operation in existing technologies. Attached Figure Description

[0020] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0021] Figure 1 This is a flowchart illustrating a method for charging and replenishing energy during a vehicle's journey, according to a specific embodiment of the present invention.

[0022] Figure 2 This is a flowchart illustrating a charging and energy replenishment method for a car during a high-speed holiday scenario, according to a specific embodiment of the present invention.

[0023] Figure 3 This is a block diagram of a charging and energy replenishment system for automobiles during a journey, according to a specific embodiment of the present invention. Detailed Implementation

[0024] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application. Furthermore, it should be understood that the specific embodiments described herein are only for illustration and explanation of this application and are not intended to limit this application.

[0025] It should be noted that the order of description of the following embodiments is not intended to limit the preferred order of the embodiments of this application. Furthermore, the descriptions of each embodiment in the following embodiments have their own emphasis; for parts not described in detail in a certain embodiment, please refer to the relevant descriptions in other embodiments.

[0026] like Figure 1 As shown, the first aspect of the present invention provides a method for charging and replenishing energy during a vehicle's journey, comprising the following contents.

[0027] Step S110: Obtain vehicle trip information.

[0028] Specifically, the trip information includes the vehicle's current location, the intended destination, and the planned route.

[0029] Step S120: Search for charging stations in the surrounding area of ​​the route in the trip information, filter the found charging stations to remove those that do not meet the predetermined conditions, and obtain candidate charging stations.

[0030] Specifically, before searching for charging stations in the surrounding area of ​​the route in the trip information, the process also includes obtaining vehicle status information, which includes the remaining power of the power battery, the estimated driving range, the vehicle load, and real-time energy consumption parameters. In addition, by configuring a user-defined charging interface, the user's charging experience is ensured and the user's energy replenishment needs are met.

[0031] Specifically, based on the trip information and vehicle status information, the total energy consumption required for the vehicle to travel from its current location to its destination along the planned route is predicted and compared with the vehicle's current available battery power. If the current battery power is sufficient to support the entire journey, no refueling is needed; if the predicted energy consumption exceeds the current battery power, a refueling requirement is determined.

[0032] Step S130: Score the candidate charging stations and select at least one target charging station.

[0033] Specifically, when there is a need for recharging, a suitable recharging method is selected to meet the energy requirements for the vehicle to continue driving. This invention proposes to score the candidate charging stations and select high-quality charging stations, i.e., target charging stations, to achieve recharging for the vehicle during its travels.

[0034] Step S140: Add the target charging station as a navigation waypoint to update the route and guide the vehicle to the charging station.

[0035] This method allows for the filtering of high-quality charging stations, optimizing the user charging experience and alleviating user charging anxiety.

[0036] In one embodiment of the present invention, in step S110, obtaining the vehicle's trip information includes: Obtain the vehicle's current location and destination; plan at least one candidate route from the current location to the destination using a navigation system; select one of the at least one candidate route as the vehicle's route information.

[0037] First, the in-vehicle navigation system obtains the vehicle's current location and destination (e.g., through user input or voice setting). Based on this, the navigation system calculates at least one candidate route from the current location to the destination. Typically, the navigation system provides multiple options (such as the fastest route, the shortest route, etc.); in this embodiment, the vehicle selects one as the actual route.

[0038] Here, by collecting the vehicle's current location and destination information, and then generating multiple candidate routes through the navigation system, the user can actively select the target route or the car's driving system can automatically select the target route, thereby achieving accurate acquisition and reasonable planning of route information and improving the adaptability and reliability of route planning.

[0039] In one embodiment of the present invention, the step of searching for charging stations in the surrounding area of ​​the route in the trip information and filtering the searched charging stations to remove those that do not meet predetermined conditions to obtain candidate charging stations includes: A predetermined data search algorithm is used to retrieve map data and charging station information related to the trip information to determine a candidate list of charging stations in the area surrounding the trip information; the candidate list of charging stations is then filtered according to predetermined filtering conditions, and charging stations that do not meet the filtering conditions are eliminated.

[0040] The predetermined data search algorithm includes at least searching all charging stations within a predetermined range, such as 5KM or 3KM, centered on all toll stations along the route, selecting the top few (e.g., the top two) charging stations according to their weights, and displaying empty ranges if no charging stations are found within the predetermined range.

[0041] Specifically, the predetermined screening criteria include, but are not limited to: 1) Openness: The station must be open to the public. Any charging station marked as internal or with restricted access will be eliminated; 2) Trip scenario exclusion: If the current route is a highway non-holiday travel scenario, all charging stations located outside highway service areas will be filtered out, and only stations within a preset range (e.g., 5km) inside the highway (within the service area) will be retained; or if the current route is a highway holiday travel scenario, all charging stations located within highway service areas will be filtered out, and only stations outside the highway (outside the service area) within a preset range (e.g., 5km) will be retained; 3) Charging type: Stations with DC fast charging piles will be prioritized. Stations mainly equipped with AC slow charging piles have limited value in long-distance charging scenarios and can be excluded; 4) Status and reputation: Optionally, stations that are currently unusable (under maintenance or power outage, etc.) and stations with extremely poor user reviews and low reliability will be excluded.

[0042] After applying the aforementioned screening criteria, a streamlined list of candidate charging stations was obtained. These candidate stations all meet basic usage requirements and are better suited to the refueling needs of vehicles during travel scenarios such as highway holidays. For non-holiday highway travel scenarios, the selected candidate stations primarily consist of community charging stations near highway exits, thus providing users with new alternatives to highway service areas and alleviating potential congestion at these areas.

[0043] In one embodiment of the present invention, scoring the candidate charging stations and selecting at least one target charging station includes: A comprehensive score is calculated for each candidate charging station according to a predetermined weighting algorithm; based on the comprehensive score, at least one candidate charging station is selected as the target charging station.

[0044] This embodiment of the method enables the selected candidate charging stations (list) to enter the scoring and sorting process. By calculating a comprehensive score for each candidate station, the higher the score, the more suitable the station is as a charging stop for this trip.

[0045] like Figure 2 As shown, in one embodiment of the present invention, when the trip information includes a high-speed holiday travel scenario, all charging stations within a predetermined radius of each highway toll station on the trip information are searched; only charging stations that are open to the public and not located in highway service areas are retained as candidate charging stations.

[0046] Specifically, based on calendar holiday information or real-time traffic conditions and service area queuing data, the current scenario is confirmed to be a highway holiday travel scenario.

[0047] Furthermore, in the aforementioned high-speed holiday travel scenario, the step of scoring candidate charging stations and selecting at least one target charging station includes: Obtain the actual travel distance, number of available fast charging piles, total number of fast charging piles, and maximum power for each candidate charging station; Each indicator is mapped to its corresponding base score; The comprehensive score is obtained by weighting and summing the basic scores according to the preset weighting coefficients; The candidate charging stations are ranked based on the comprehensive score, and the charging stations with the highest scores are selected from the ranking results by user confirmation and / or directly selected as the target charging stations.

[0048] Specifically, as shown in Table 1, the scoring uses a multi-factor weighted algorithm, and is explained in conjunction with the following indicators: Table 1: .

[0049] Actual travel distance: This refers to the total distance the vehicle travels from the main route to the charging station and back. The shorter the distance and the closer to the main route, the higher the base score. For example, a detour distance of 0-3 kilometers earns a full score of 100 points, 3-5 kilometers earns 75 points, and distances exceeding a certain limit may result in a further reduction in score.

[0050] Number of available fast charging stations: The number of currently available (unoccupied) fast charging stations at this site. The more available stations, the higher the probability of users being able to plug in and charge immediately. For example, 5 or more available stations score 100 points, 3-4 available stations score 75 points, and 1-2 available stations score 45 points; if there are no available stations, this item scores very low or even 0 points, indicating that a long wait may be required.

[0051] Total number of fast charging stations: The total number of fast charging stations equipped at the site. The higher the total number, the stronger the service capacity and reception capacity of the site. For example, more than 5 stations score 100 points, 3-4 stations score 75 points, and 1-2 stations score a lower value, such as 45 points.

[0052] Maximum charging power: The highest power level of the charging piles provided by the station (e.g., whether there are high-power fast charging piles). The higher the power, the faster the charging speed. For example, a maximum power of ≥90kW in the station is 100 points, between 60~90kW is 75 points, between 30~60kW is 45 points, and below 30kW is 0 points.

[0053] Each of the above indicators has a corresponding weighting coefficient, reflecting its proportion in the overall score.

[0054] The overall score for each candidate charging station is calculated by multiplying its base score by its weight and summing the results. For example, the weight of actual travel distance can be set at approximately 46.55%, the weight of the number of available fast charging stations at approximately 36.57%, the weight of the total number of fast charging stations at approximately 9.25%, and the weight of maximum power at approximately 7.63% (the specific proportions can be optimized based on the data). In this way, the overall score will prioritize the impact of key factors such as distance and availability of charging stations.

[0055] The weighting can be adjusted according to different application scenarios and user preferences; the values ​​above are just examples.

[0056] The scoring mechanism allows for a quantitative comparison of the quality of different charging stations. The station with the highest score in the ranking results is considered the target charging station. This top-scoring station can be directly selected as the target station for the next route update. Alternatively, several top-ranked stations (e.g., the top two or three) can be selected as a recommendation list for the user. This is to allow the user to choose an alternative from the second or third-ranked stations if the top candidate does not meet their preferences for subjective reasons. Regardless of the mode, this embodiment will transmit the finally confirmed target charging station to the navigation module for route updates.

[0057] In one embodiment of the present invention, a soft switch is provided in the vehicle navigation interface to switch the display of a list of recommended charging station information along the trip information; when the user turns on the soft switch, the navigation interface displays the location distribution of the recommended charging stations on the route and / or a route overview.

[0058] In one embodiment of the present invention, when a user selects a recommended charging station as the target charging station on the navigation interface, the target charging station is automatically set as a navigation waypoint, and the trip information is replanned based on the navigation waypoint to guide the vehicle to the target charging station for recharging.

[0059] For example, the navigation interface features a soft-switch button for "Recommended Charging Stations Along the Way." When the user clicks this button, the navigation interface switches to a route overview mode and highlights the locations of recommended charging stations along the route. The user can clearly see the current driving route and the distribution of recommended charging stations in the vicinity. If the user has questions or other preferences regarding the automatically selected target station, they can browse the details of these recommended stations (e.g., clicking the station icon to view the station name, the number of available charging stations, estimated queue status, etc.). When the user specifies a recommended charging station as a new target on the interface, the user's selection will be immediately adopted: that is, the previously automatically selected station will be replaced with the user-selected station, reset as a navigation waypoint, and the route will be replanned to guide the vehicle to the new target station.

[0060] This interactive design ensures users have control over their charging and stopping decisions. If users are satisfied with the original recommended plan, they don't need to do anything; the system will execute the default plan. However, if users have special needs (such as preferring a particular operator's charging stations or wanting to rest at a certain location along the way), they can easily adjust their charging station selection through the interface. This embodiment's interface not only provides a visual display of the plans, allowing users to understand the charging layout and options along the route in advance, but also provides a convenient entry point for manual intervention, striking a balance between automation and manual selection, thus increasing users' trust and acceptance of the system's recommendations.

[0061] like Figure 3 As shown, a second aspect of the present invention provides a charging and energy replenishment system for automobiles during travel, comprising: The trip information acquisition unit is used at least to acquire the vehicle's trip information using the navigation system; The candidate station filtering unit is used at least to search for charging stations in the area surrounding the route in the trip information, and to filter the found charging stations to remove those that do not meet the predetermined conditions, so as to obtain candidate charging stations. The target site selection unit is used to score the candidate charging stations and select at least one target charging station. The trip information update unit is used at least to add the target charging station as a navigation waypoint to update the route and guide the vehicle to the charging station.

[0062] Furthermore, this invention recalculates the navigation route based on the determined target charging station: the first segment is from the vehicle's current location to the target charging station, and the second segment is from the target charging station to the originally set destination. The updated route is displayed on the navigation interface in real time and begins guiding the vehicle to the target charging station.

[0063] This method supports multiple charging needs during long-distance travel, eliminating the need for users to manually search for charging stations along each segment of the route. The system will intelligently arrange a series of charging stops to ensure that the vehicle can reach its destination smoothly.

[0064] A third aspect of the present invention provides an electronic device, comprising: at least one processor; and at least one memory communicatively connected to the processor, wherein: the memory stores program instructions executable by the processor, and the processor invokes the program instructions to perform the steps of the method as described in any of the above embodiments.

[0065] A fourth aspect of the present invention discloses a readable storage medium storing a computer program, which is executed by a processor as described in any of the above embodiments.

[0066] Computer-readable storage media can include: any entity or device capable of carrying computer programs, recording media, USB flash drives, portable hard drives, magnetic disks, optical disks, computer memory, read-only memory, random access memory, and software distribution media, etc. Computer programs include computer program code. Computer program code can be in the form of source code, object code, executable files, or some intermediate form, etc. Computer-readable storage media can include: any entity or device capable of carrying computer program code, recording media, USB flash drives, portable hard drives, magnetic disks, optical disks, computer memory, read-only memory, random access memory, and software distribution media, etc.

[0067] Any process or method description in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or more executable instructions for implementing a particular logical function or process, and the scope of the preferred embodiments of the invention includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the functions involved, as will be understood by those skilled in the art to which embodiments of the invention pertain.

[0068] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing 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 (such as a computer-based system, a system including a processing module or other system that can fetch and execute instructions from, an instruction execution system, apparatus or device).

[0069] The above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for charging and replenishing energy during a vehicle's journey, characterized in that, include: Obtain vehicle trip information; Search for charging stations in the area surrounding the route from the trip information, filter the found charging stations to remove those that do not meet the predetermined conditions, and obtain candidate charging stations; score the candidate charging stations and select at least one target charging station; Add the target charging station as a navigation waypoint to update the route and guide the vehicle to the charging station.

2. The charging and energy replenishment method during vehicle travel according to claim 1, characterized in that, The acquisition of vehicle trip information includes: Obtain the vehicle's current location and destination; plan at least one candidate route from the current location to the destination using a navigation system; select one of the at least one candidate route as the vehicle's route information.

3. The charging and energy replenishment method during vehicle travel according to claim 1, characterized in that, The process involves searching for charging stations in the surrounding area of ​​the route from the trip information, and filtering the found charging stations to remove those that do not meet predetermined conditions, to obtain candidate charging stations, including: A predetermined data search algorithm is used to retrieve map data and charging station information related to the trip information to determine a candidate list of charging stations in the area surrounding the trip information; the candidate list of charging stations is then filtered according to predetermined filtering conditions, and charging stations that do not meet the filtering conditions are eliminated.

4. The charging and energy replenishment method during vehicle travel according to claim 1, characterized in that, The step of scoring the candidate charging stations and selecting at least one target charging station includes: A comprehensive score is calculated for each candidate charging station according to a predetermined weighting algorithm; based on the comprehensive score, at least one candidate charging station is selected as the target charging station.

5. The method for charging and replenishing energy during a vehicle's journey according to claim 1 or 3, characterized in that, When the trip information includes a high-speed holiday travel scenario, all charging stations within a predetermined radius of each highway toll station on the trip information are searched; only charging stations that are open to the public and not located in highway service areas are retained as candidate charging stations.

6. The charging and energy replenishment method during vehicle travel according to claim 4, characterized in that, The candidate charging stations are scored and at least one target charging station is selected, including: Obtain the actual travel distance, number of available fast charging piles, total number of fast charging piles, and maximum power for each candidate charging station; Each indicator is mapped to its corresponding base score; The comprehensive score is obtained by weighting and summing the basic scores according to the preset weighting coefficients; The candidate charging stations are ranked based on the comprehensive score, and the charging stations with the highest scores are selected from the ranking results by user confirmation and / or directly selected as the target charging stations.

7. The charging and energy replenishment method during vehicle travel according to claim 1, characterized in that, Also includes: A soft switch is provided in the vehicle navigation interface to toggle the display of a list of charging station information recommended along the trip information; When the user activates the soft switch, the navigation interface displays the location distribution of the recommended charging stations along the route and / or a full route overview.

8. The charging and energy replenishment method during vehicle travel according to claim 7, characterized in that, When a user selects a recommended charging station as the target charging station on the navigation interface, the target charging station is automatically set as a navigation waypoint, and the trip information is replanned based on the navigation waypoint to guide the vehicle to the target charging station for charging.

9. A charging and energy replenishment system for automobiles during travel, characterized in that, include: The trip information acquisition unit is used at least to acquire the vehicle's trip information using the navigation system; The candidate station filtering unit is used at least to search for charging stations in the area surrounding the route in the trip information, and to filter the found charging stations to remove those that do not meet the predetermined conditions, so as to obtain candidate charging stations. The target site selection unit is used to score the candidate charging stations and select at least one target charging station. The trip information update unit is used at least to add the target charging station as a navigation waypoint to update the route and guide the vehicle to the charging station.

10. An electronic device, characterized in that, include: At least one processor; And at least one memory communicatively connected to the processor, wherein: the memory stores program instructions executable by the processor, and the processor invokes the program instructions to perform the steps of the charging and recharging method during a vehicle trip as described in any one of claims 1-8.

11. A readable storage medium storing a computer program, characterized in that, The computer program is executed by a processor using the steps of the charging and recharging method for a vehicle during a journey as described in any one of claims 1-8.

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