Charging navigation method, device, electronic device and storage medium

Abstract

The present invention discloses a charging navigation method, device, electronic device and storage medium, which are applied to the field of navigation technology, including: obtaining driving data, the driving data including vehicle position, navigation route and navigation destination; obtaining in-vehicle personnel behavior data; determining the target charging station according to the driving data and the in-vehicle personnel behavior data and recommending it to the user. The present invention solves the technical problem of low accuracy of charging stations recommended to users, improves interactive performance, and is conducive to providing users with more personalized electric vehicle charging services.

Description

Technical Field

[0001] The present invention belongs to the field of navigation technology, and in particular relates to a charging navigation method, device, electronic equipment and storage medium. Background Art

[0002] With the continuous development of new energy vehicle technology, the safety is getting higher and higher, and it has been loved by more and more users in recent years. It is very important to charge electric vehicles in time. At present, charging apps developed for electric vehicles generally display information about available charging stations nearby based on user searches, and the accuracy of the charging stations recommended to users is not high. Summary of the invention

[0003] In view of the technical problem that the charging sites recommended to users in the prior art are not accurate enough, the embodiments of the present invention provide a charging navigation method, device, electronic device and storage medium.

[0004] In a first aspect, an embodiment of the present invention provides a charging navigation method, including:

[0005] Acquiring driving data, wherein the driving data includes vehicle location, navigation route and navigation destination;

[0006] Obtaining the behavior data of people in the car;

[0007] A target charging station is determined based on the driving data and the in-vehicle occupant behavior data and recommended to the user.

[0008] Optionally, the driving data further includes battery power, and the obtaining of driving data and obtaining of in-vehicle personnel behavior data includes:

[0009] Determining an estimated remaining power value of the electric vehicle when it arrives at the navigation destination based on the vehicle position, navigation route and battery power;

[0010] Determine whether the estimated remaining power value is greater than a safe power threshold, and at least when the estimated remaining power value is not greater than the safe power threshold, trigger the step of obtaining the occupant behavior data.

[0011] Optionally, the step of triggering the step of acquiring the behavior data of the person in the vehicle at least when the estimated remaining power is not greater than the safe power threshold value includes:

[0012] If the estimated remaining power is not greater than the safe power threshold and there is no available charging site within the first preset range of the navigation destination, the occupant behavior data is obtained.

[0013] Optionally, determining the estimated remaining power of the electric vehicle when it arrives at the navigation destination according to the vehicle position, the navigation route and the battery power includes:

[0014] According to the road condition information of the navigation route and the vehicle position, an estimated value of the total power consumption of the electric vehicle to reach the navigation destination is estimated;

[0015] The remaining power estimate is determined based on the battery power and the total power consumption estimate.

[0016] Optionally, obtaining the in-vehicle personnel behavior data includes:

[0017] collecting image and / or sound data within the electric vehicle;

[0018] The behavior data of the person in the vehicle is determined by analyzing the image and / or sound data.

[0019] Optionally, the in-vehicle occupant behavior data includes an in-vehicle occupant category and / or an in-vehicle occupant status; and determining a target charging station based on the driving data and the in-vehicle occupant behavior data and recommending the target charging station to the user includes:

[0020] An available charging site that matches the category of the occupant within a second preset range of the navigation route and / or an available charging site that matches the status of the occupant are determined as target charging sites and recommended to the user.

[0021] Optionally, determining an available charging site within a second preset range of the navigation route that matches the status of the occupant of the vehicle as a target charging site and recommending it to the user includes:

[0022] If the occupant is in a fatigued state, a first available charging station is determined from the navigation route and recommended to the user as a target charging station, wherein the first available charging station is the available charging station closest to the current vehicle position, or the distance between the first available charging station and a rest place is less than a first preset distance.

[0023] Optionally, determining an available charging site within a second preset range of the navigation route that matches the category of the occupant as a target charging site and recommending it to the user includes:

[0024] If the category of people in the vehicle includes children, a second available charging site is determined from the navigation route and recommended to the user as a target charging site, wherein the distance between the second available charging site and the place where children gather is less than a second preset distance.

[0025] In a second aspect, an embodiment of the present invention provides a charging navigation device, including:

[0026] A first data acquisition unit, which acquires driving data, wherein the driving data includes a vehicle position, a navigation route, and a navigation destination;

[0027] A second data acquisition unit is used to acquire the behavior data of people in the vehicle;

[0028] The push unit is used to determine the target charging station based on the driving data and the behavior data of the occupants of the vehicle and recommend it to the user.

[0029] In a third aspect, an embodiment of the present invention provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the method described in any embodiment of the first aspect when executing the program.

[0030] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the method described in any embodiment of the first aspect.

[0031] One or more technical solutions provided by the embodiments of the present invention achieve at least the following technical effects or advantages:

[0032] Because the target charging station is determined and recommended to the user based on the driving data and combined with the behavior data of the people in the car, the charging station recommended to the user is more in line with the user's current needs, which improves the accuracy of recommending charging stations to users, thereby improving the interactive performance and facilitating providing users with more personalized electric vehicle charging services. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying creative work.

[0034] Figure 1 is a flow chart of a charging navigation method according to an embodiment of the present invention;

[0035] Figure 2 This is a functional module diagram of a charging navigation device according to an embodiment of the present invention;

[0036] Figure 3 Schematic diagram of the structure of an electronic device in an embodiment of the present invention. DETAILED DESCRIPTION

[0037] In view of the technical problem that the charging sites recommended to users in the prior art are not accurate enough, the embodiments of the present invention provide a charging navigation method, device, electronic device and storage medium. The overall idea is to recommend charging sites to users by combining the behavior data of people in the car, so that the charging sites recommended to users are more in line with the actual needs of users.

[0038] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0039] An embodiment of the present invention provides a charging navigation method for providing charging navigation services for electric vehicles.

[0040] The charging navigation method provided in the embodiment of the present invention can be applied to terminal devices such as vehicle-mounted navigation devices, smart phones, and tablet computers. A client such as a charging APP or a navigation APP is installed on the terminal device to provide charging navigation services for electric vehicles, as well as user interaction during the navigation service process, so as to combine offline map data to implement the charging navigation method in the embodiment of the present invention.

[0041] The charging navigation method provided in the embodiment of the present invention can also be applied to a server that provides services to clients such as charging apps or navigation apps. The server obtains driving data and in-vehicle occupant behavior data reported by the client by interacting with the client; determines the target charging station based on the driving data and in-vehicle occupant behavior data; and pushes the determined target charging station to the client to display it to the user on the client.

[0042] refer to Figure 1 As shown, the charging navigation method provided by the embodiment of the present invention includes the following steps:

[0043] S101. Acquire driving data, where the driving data includes vehicle position, navigation route and navigation destination.

[0044] Specifically, the navigation destination is provided by the user, for example, it can be selected by the user or input by the user, and the vehicle position can be based on GPS positioning. After obtaining the navigation destination provided by the user, a navigation route is generated based on the navigation destination provided by the user, the vehicle position located by GPS, and map data.

[0045] It should be understood that the vehicle position of an electric vehicle changes dynamically during driving, and real-time positioning based on GPS is required, and the navigation route will also change accordingly based on the dynamic changes in the vehicle position.

[0046] S102: Obtaining the behavior data of people in the vehicle.

[0047] In some embodiments, step S102 and step S101 are independent steps. After the navigation destination provided by the user is detected, step S101 and step S102 can be triggered to be executed synchronously, so that the driving data of the electric vehicle and the behavior data of the occupants are continuously obtained during the driving of the electric vehicle.

[0048] In order to save the amount of calculation and thus reduce memory consumption. In other implementations, after the driving data is obtained in step S101, it is determined whether the electric vehicle needs to be charged according to the driving data; when the electric vehicle needs to be charged, the step of obtaining the behavior data of the occupants is performed; otherwise, the behavior data of the occupants is not obtained, thereby avoiding unnecessary acquisition of the behavior data of the occupants and saving memory consumption.

[0049] In an embodiment of the present invention, the acquired driving data may also include the battery power of the electric vehicle, which is used to accurately trigger the execution of step S102.

[0050] Specifically, after the driving data is obtained in step S102, the estimated remaining power of the electric vehicle when it arrives at the navigation destination is determined based on the vehicle position, navigation route and battery power in the driving data; it is judged whether the estimated remaining power is greater than the safety power threshold. At least when the estimated remaining power is not greater than the safety power threshold, it indicates that the electric vehicle has a need to charge, which triggers the step of obtaining the behavior data of the people in the vehicle.

[0051] The safety power threshold may be a pre-set fixed value that will not change due to the battery type, usage, etc. of the electric vehicle. The safety power threshold may also be dynamically set based on the battery performance parameters of the electric vehicle. Specifically, at least one dimension of battery performance parameters of the electric vehicle is obtained; and the safety power threshold is set based on the obtained battery performance parameters of each dimension.

[0052] The obtained battery performance parameters may include one or more of the following information: battery type, charging frequency information, battery life, battery maintenance information, recommended safe power, etc.

[0053] In the specific implementation process, whether the electric vehicle needs to be charged can be determined based on the driving data, and any of the following implementation methods can be adopted:

[0054] Method 1: When the estimated remaining power is not greater than the safety power threshold and it is determined that the electric vehicle needs to be charged, the step of obtaining the behavior data of the people in the vehicle is triggered.

[0055] Method 2: When the estimated remaining power does not reach the safe power threshold and there is no available charging station within the first preset range of the navigation destination, it is determined that the electric vehicle has a charging demand, and the step of obtaining the behavior data of the occupants is triggered. Method 2 combines two factors to determine whether the electric vehicle has a charging demand, which can further improve the accuracy of the timing of triggering the acquisition of the behavior data of the occupants.

[0056] Among them, the estimated remaining power of the electric vehicle when it arrives at the navigation destination can be: based on the road condition information of the navigation route and the vehicle position, the estimated total power consumption of the electric vehicle to reach the navigation destination is estimated; based on the battery power and the estimated total power consumption, the estimated remaining power is determined.

[0057] Specifically, the route distance is calculated based on the navigation route between the vehicle position and the navigation destination; the basic power consumption estimate required to reach the navigation destination is calculated based on the route distance of the navigation route; the first power consumption compensation value is calculated based on the road condition information on the navigation route; the basic power consumption estimate is corrected using the first power consumption compensation value to obtain the total power consumption estimate.

[0058] Among them, the traffic information on the navigation route includes: congestion level, congestion distance, estimated time required to pass the congested section, whether there is a possibility of detours, and other factors that affect the power consumption of the entire journey.

[0059] Furthermore, in order to improve the accuracy of the estimated value of the total power consumption, the load of the equipment in the vehicle (for example, loads such as vehicle-mounted terminal equipment and air conditioners) can also be monitored; the second power consumption compensation value is calculated based on the load of the equipment in the vehicle; the basic power consumption estimate of the electric vehicle is corrected using the first power consumption compensation value and the second power consumption compensation value to obtain the estimated value of the total power consumption.

[0060] Specifically, after the estimated value of the total power consumption is obtained, the difference between the battery power and the estimated value of the total power consumption is used as the estimated value of the remaining power.

[0061] In the embodiment of the present invention, the estimated value of the remaining power when the electric vehicle arrives at the navigation destination can be determined only once to reduce the amount of calculation. Specifically, after the user provides the navigation destination, the navigation route is determined according to the navigation starting point and the navigation destination; according to the route distance of the navigation route between the navigation starting point (i.e.: the vehicle position is located at the navigation starting point) and the navigation destination and the road condition information, the estimated value of the remaining power when the electric vehicle arrives at the navigation destination is determined.

[0062] If the driving process is long, due to factors such as changes in the driving route and changes in vehicle equipment load, only performing the determination of the estimated remaining power value when arriving at the navigation destination once may be inaccurate, resulting in inaccurate timing of triggering the execution of step S102. The step of determining the estimated remaining power value when the electric vehicle arrives at the navigation destination may be periodically performed during the driving process of the electric vehicle.

[0063] In some implementations, obtaining the in-vehicle occupant behavior data includes: collecting image and / or sound data in the electric vehicle; and determining the in-vehicle occupant behavior data by analyzing the collected image and / or sound data.

[0064] Specifically, when it is determined based on driving data that the electric vehicle needs to be charged, the camera configured by the terminal device is started to collect image data inside the electric vehicle; and the sound card configured by the terminal device is started to collect sound data inside the electric vehicle.

[0065] In the embodiment of the present invention, the acquired behavior data of the occupants of the vehicle may include the category of the occupants of the vehicle and / or the status of the occupants of the vehicle.

[0066] In some embodiments, in step S103, each facial image area can be extracted from the captured image alone; and facial analysis can be performed on each facial image area to determine the person category and / or person status corresponding to each facial image area; or facial analysis can be performed on each facial image area to determine the person category corresponding to each facial area and the person status of the driver in the vehicle.

[0067] In some embodiments, in step S103, voiceprint features may be extracted from the collected sound data only, and the category of the occupant may be determined based on the voiceprint features. The sound data collected by voice recognition is used to determine the status of the occupant. For example, it is detected whether there is a yawning sound or specific keywords, such as "tired", "rest", etc. in the car. If so, it is determined that the occupant is in a fatigued state.

[0068] In some implementations, image and sound data may be combined to jointly determine vehicle-type occupant behavior data to improve data accuracy and relatively reduce the amount of data processing:

[0069] After determining the person category and / or person status corresponding to each facial image area through sound data, if the person category in the car includes children, image analysis is used to determine whether the person category in the car includes children; if it is determined through sound data that the person in the car is in a fatigued state, image analysis is used to determine whether the driver in the car is in a fatigued state.

[0070] S103: Determine a target charging station based on the driving data and the behavior data of the occupants of the vehicle and recommend it to the user.

[0071] In the specific implementation process, after obtaining the navigation destination provided by the user, a navigation service for navigating to the navigation destination is provided; and steps S101 to S103 are executed during the navigation service process, so that once it is found that the electric vehicle has a charging demand during the navigation service process, a suitable target charging station can be recommended to the user.

[0072] In step S103, available charging sites that match the category of the occupant and / or available charging sites that match the status of the occupant within a second preset range of the navigation route are determined as target charging sites and recommended to the user.

[0073] During the specific implementation process, if it is determined that any person in the vehicle or the driver is in a fatigued state, the first available charging station is determined from the navigation route and recommended to the user as the target charging station, wherein the first available charging station is the available charging station closest to the current vehicle position, or the distance between the first available charging station and the rest place is less than a first preset distance.

[0074] Since fatigue driving is more dangerous and users may choose to ignore existing alarm prompts, it is recommended to find an available charging station closest to a rest area or the current vehicle location, which can facilitate the driver and passengers to rest. This allows the driver and passengers to rest and replenish energy at the same time, thereby improving travel safety.

[0075] During the specific implementation process, if the category of people in the car includes children, a second available charging station is determined from the navigation route and recommended to the user as the target charging station, wherein the distance between the second available charging station and the place where children gather is less than a second preset distance.

[0076] By recommending available charging stations along the navigation route that are close to places where children gather, user comfort during energy refueling is improved.

[0077] In the embodiment of the present invention, the determined target charging site may include one or more. If multiple target charging sites of different categories are determined, a display mark may be added to each target charging site to distinguish target charging sites of different categories.

[0078] For example, based on the fact that the occupants in the car are in a fatigued state, the determined target charging site can add a first display logo; and based on the fact that the categories of occupants in the car include children, the determined target charging site can add a second display logo different from the first display logo to distinguish and display target charging sites of different categories.

[0079] In a second aspect, based on the same inventive concept, an embodiment of the present invention provides a charging navigation device. Figure 2 As shown, the charging navigation device includes:

[0080] A first data acquisition unit 201 acquires driving data, the driving data including vehicle position, navigation route and navigation destination;

[0081] The second data acquisition unit 202 is used to acquire the behavior data of the people in the vehicle;

[0082] The push unit 203 is used to determine the target charging station based on the driving data and the behavior data of the people in the vehicle and recommend it to the user.

[0083] In some implementations, the driving data further includes battery power, and the first data acquisition unit 201 includes:

[0084] An estimation subunit, used to determine an estimated value of remaining power of the electric vehicle when it arrives at the navigation destination according to the vehicle position, the navigation route and the battery power;

[0085] A judging subunit, used to judge whether the estimated remaining power is greater than a safe power threshold;

[0086] The second data acquisition unit is used to execute the step of acquiring the behavior data of the people in the vehicle at least when the estimated remaining power is not greater than the safety power threshold.

[0087] In some implementations, the second data acquisition unit 202 is specifically configured to:

[0088] If the estimated remaining power is not greater than the safe power threshold and there is no available charging site within the first preset range of the navigation destination, the occupant behavior data is obtained.

[0089] In some embodiments, the estimation subunit is specifically configured to:

[0090] According to the road condition information of the navigation route and the vehicle position, an estimated value of the total power consumption of the electric vehicle to reach the navigation destination is estimated;

[0091] The remaining power estimate is determined based on the battery power and the total power consumption estimate.

[0092] In some implementations, the second data acquisition unit 202 includes:

[0093] A collection subunit, used for collecting image and / or sound data in the electric vehicle;

[0094] The analysis subunit is used to determine the behavior data of the person in the vehicle by analyzing the image and / or sound data.

[0095] In some implementations, the in-vehicle occupant behavior data includes the in-vehicle occupant category and / or the in-vehicle occupant status; the push unit 203 is specifically used to:

[0096] An available charging site that matches the category of the occupant within a second preset range of the navigation route and / or an available charging site that matches the status of the occupant are determined as target charging sites and recommended to the user.

[0097] In some implementation schemes, the push unit 203 is specifically used to:

[0098] If the occupant is in a fatigued state, a first available charging station is determined from the navigation route and recommended to the user as a target charging station, wherein the first available charging station is the available charging station closest to the current vehicle position, or the distance between the first available charging station and a rest place is less than a first preset distance.

[0099] In some implementation schemes, the push unit 203 is specifically used to:

[0100] If the category of people in the vehicle includes children, a second available charging site is determined from the navigation route and recommended to the user as a target charging site, wherein the distance between the second available charging site and the place where children gather is less than a second preset distance.

[0101] The charging navigation device in the embodiment of the present invention is a device for implementing the aforementioned charging navigation method embodiment. More implementation details of the charging navigation device can refer to the aforementioned charging navigation method embodiment, and for the sake of brevity of the specification, they will not be repeated here.

[0102] Because the charging navigation device in the embodiment of the present invention combines the behavior data of the people in the car to determine the target charging station and recommend it to the user, the charging station recommended to the user is more in line with the user's current needs, the accuracy of recommending charging stations to the user is improved, the interactive performance is improved, and it is conducive to providing users with more personalized electric vehicle charging services.

[0103] In a third aspect, based on the same inventive concept, an embodiment of the present invention further provides an electronic device, which may be a terminal device or a server, such as Figure 3 As shown, it includes a memory 304, a processor 302, and a computer program stored in the memory 304 and executable on the processor 302. When the processor 302 executes the program, any implementation of the charging navigation method described above is implemented.

[0104] Among them, Figure 3 In the embodiment of the present invention, a bus architecture (represented by bus 300) is shown, which may include any number of interconnected buses and bridges, and bus 300 links various circuits including one or more processors represented by processor 302 and memory represented by memory 304. Bus 300 may also link various other circuits such as peripherals, voltage regulators, and power management circuits, which are well known in the art and are therefore not further described herein. Bus interface 305 provides an interface between bus 300 and receiver 301 and transmitter 303. Receiver 301 and transmitter 303 may be the same element, namely a transceiver, providing a unit for communicating with various other devices over a transmission medium. Processor 302 is responsible for managing bus 300 and general processing, while memory 304 may be used to store data used by processor 302 when performing operations.

[0105] In a fourth aspect, based on the same inventive concept as in the aforementioned charging navigation method embodiment, the present invention further provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements any implementation of the aforementioned charging navigation method embodiment.

[0106] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0107] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0108] These computer program instructions may also be stored in a computer readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0109] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0110] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0111] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A charging navigation method, characterized in that: include: Acquiring driving data, wherein the driving data includes vehicle location, navigation route and navigation destination; Determine whether the electric vehicle needs to be charged based on driving data; When an electric vehicle needs to be charged, the behavior data of the people in the vehicle is obtained, including: During the driving process of the electric vehicle, the estimated remaining power of the electric vehicle when it arrives at the navigation destination is periodically determined according to the vehicle position, the navigation route and the battery power, including: calculating the route distance according to the navigation route between the vehicle position and the navigation destination; calculating the estimated basic power consumption required to reach the navigation destination according to the route distance of the navigation route; calculating a first power consumption compensation value according to the road condition information on the navigation route; monitoring the load of the equipment in the vehicle, and calculating a second power consumption compensation value according to the load of the equipment in the vehicle; correcting the basic power consumption estimate value by using the first power consumption compensation value and the second power consumption compensation value to obtain the estimated power consumption value for the entire journey; taking the difference between the battery power and the estimated power consumption value for the entire journey as the estimated remaining power value; If the estimated remaining power is not greater than the safe power threshold and there is no available charging station within the first preset range of the navigation destination, obtaining occupant behavior data; A target charging station is determined based on the driving data and the in-vehicle occupant behavior data and recommended to the user.

2. The method according to claim 1, characterized in that The obtaining of in-vehicle personnel behavior data includes: Collecting image and / or sound data inside the vehicle; The behavior data of the person in the vehicle is determined by analyzing the image and / or sound data.

3. The method according to claim 2, characterized in that The in-vehicle occupant behavior data includes the in-vehicle occupant category and / or the in-vehicle occupant status; determining a target charging station based on the driving data and the in-vehicle occupant behavior data and recommending the target charging station to the user includes: An available charging site that matches the category of the occupant and / or an available charging site that matches the status of the occupant within a second preset range of the navigation route is determined as a target charging site and recommended to the user.

4. The method according to claim 3, characterized in that The step of determining an available charging station within a second preset range of the navigation route that matches the status of the occupant of the vehicle as a target charging station and recommending it to the user includes: If the occupant is in a fatigued state, a first available charging station is determined from the navigation route and recommended to the user as a target charging station, wherein the first available charging station is the available charging station closest to the current vehicle position, or the distance between the first available charging station and a rest place is less than a first preset distance.

5. The method according to claim 3, characterized in that The step of determining the available charging sites that match the category of the occupant within the second preset range of the navigation route as target charging sites and recommending them to the user includes: If the category of people in the vehicle includes children, a second available charging site is determined from the navigation route and recommended to the user as a target charging site, wherein the distance between the second available charging site and the place where children gather is less than a second preset distance.

6. A charging navigation device, characterized in that: include: A first data acquisition unit, which acquires driving data, wherein the driving data includes a vehicle position, a navigation route, and a navigation destination; A second data acquisition unit, used to determine whether the electric vehicle has a charging demand according to the driving data; When an electric vehicle needs to be charged, the behavior data of the people in the vehicle is obtained, including: During the driving process of the electric vehicle, the estimated remaining power of the electric vehicle when it arrives at the navigation destination is periodically determined according to the vehicle position, the navigation route and the battery power, including: calculating the route distance according to the navigation route between the vehicle position and the navigation destination; calculating the estimated basic power consumption required to reach the navigation destination according to the route distance of the navigation route; calculating a first power consumption compensation value according to the road condition information on the navigation route; monitoring the load of the equipment in the vehicle, and calculating a second power consumption compensation value according to the load of the equipment in the vehicle; correcting the basic power consumption estimate value by using the first power consumption compensation value and the second power consumption compensation value to obtain the estimated power consumption value for the entire journey; taking the difference between the battery power and the estimated power consumption value for the entire journey as the estimated remaining power value; If the estimated remaining power is not greater than the safe power threshold and there is no available charging station within the first preset range of the navigation destination, obtaining occupant behavior data; The push unit is used to determine the target charging station based on the driving data and the behavior data of the occupants of the vehicle and recommend it to the user.

7. An electronic device, characterized in that: The invention comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the method according to any one of claims 1 to 5 is implemented.

8. A computer-readable storage medium having a computer program stored thereon, wherein the program, when executed by a processor, implements the method according to any one of claims 1 to 5.

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