A vehicle intelligent charging service pushing method and device and electronic equipment

Abstract

The present disclosure relates to the technical field of big data application, and discloses a vehicle intelligent charging service pushing method and device and electronic equipment, wherein the method comprises: searching for a nearby charging service station based on a current position of a vehicle; recalling the searched charging service station based on a first data label to obtain a recommended list of the charging service station; identifying a current vehicle use scenario based on a second data label; determining at least one pushing mode associated with the current vehicle use scenario based on the vehicle use scenario, each pushing mode corresponding to a different terminal; and sending the recommended list of the charging service station to the corresponding terminal through the at least one pushing channel. The present disclosure achieves the beneficial effect of providing differentiated and personalized charging recommendation services to different users.

Description

Technical Field

[0001] This disclosure relates to the field of big data application technology, and in particular to a method, apparatus and electronic device for pushing intelligent vehicle charging services. Background Technology

[0002] With the rapid development and application of artificial intelligence and big data in the new energy vehicle field, recommending vehicle charging services to users is an important application. However, existing charging recommendation services provide users with charging services within a reasonable range based on fixed scenarios. For example, when the vehicle's battery level is detected to be low enough, a charging prompt and available charging stations are displayed on the vehicle's infotainment system. This type of charging recommendation service is too simplistic and cannot meet the differentiated and personalized charging needs of different car owners. Summary of the Invention

[0003] In view of the shortcomings of the prior art, this disclosure provides a method, apparatus and electronic device for pushing intelligent charging services for vehicles, so as to solve the technical problem of how to provide users with personalized charging recommendation services.

[0004] One aspect of this disclosure provides a method for pushing intelligent charging services for vehicles, which includes:

[0005] Based on the vehicle's current location, search for nearby charging stations;

[0006] Based on the first data tag, the searched charging service stations are recalled to obtain a recommended list of charging service stations;

[0007] Based on the second data tag, identify the current vehicle usage scenario;

[0008] Based on this car usage scenario, at least one push method associated with the current car usage scenario is determined, and each push method corresponds to a different reach terminal;

[0009] The list of recommended charging service stations will be sent to the corresponding touchpoints through at least one push channel.

[0010] Preferably, in the above-mentioned vehicle intelligent charging service push method, the first data tag and the second data tag each include at least one of the following tags established based on service data: user tag, vehicle tag, content service tag, and scenario tag.

[0011] Preferably, in the above-mentioned vehicle intelligent charging service push method, the service data includes at least one of the following: user basic data, user behavior data, vehicle basic data, vehicle behavior data, vehicle camera data, and map application data.

[0012] Preferably, in the above-mentioned vehicle intelligent charging service push method, the process of recalling the searched charging service stations based on data tags to obtain a recommended list of charging service stations includes:

[0013] Based on the first data tag, determine the recall strategy;

[0014] Based on this recall strategy, the searched charging service stations are filtered and sorted to obtain a candidate set of charging service stations.

[0015] The candidate set is rearranged based on at least one of the following: business rules, service strategies, and operational interventions, to obtain a recommended list of charging service stations.

[0016] Preferably, in the above-mentioned vehicle intelligent charging service push method, the vehicle usage scenario includes at least one of the following scenarios:

[0017] The user is driving;

[0018] The user is resting at the service area and is not in the vehicle;

[0019] The user is resting in the car, and the vehicle is in the P gear.

[0020] Users are browsing application terminals.

[0021] Preferably, in the above-mentioned vehicle intelligent charging service push method, the method determines at least one push method associated with the current vehicle usage scenario based on the usage scenario, and each push method corresponds to a different reach terminal, including:

[0022] When the user is driving, the target push method is determined to be voice push from the vehicle's smart assistant or / and in-app service recommendations from the map navigation application.

[0023] When the user is resting at a service area and not in the car, the push notification method will be determined to be the mobile system PUSH notification and / or in-site message notification.

[0024] When the user is resting in the car and the vehicle is in P gear, the system will select vehicle system message notifications and / or smart assistant voice push as the target push method.

[0025] When a user is browsing an application, the system will select in-system service notifications as the target push method.

[0026] Preferably, in the above-described method for pushing intelligent vehicle charging services, after sending the recommended list of charging service stations to the corresponding touchpoints through at least one push channel, the method further includes:

[0027] Obtain user feedback on the recommended list, including the user's selection of a service charging station from the recommended list as their target;

[0028] When the system detects that the vehicle is currently in navigation mode, it generates a navigation route with the service charging station corresponding to the user's selected destination as the destination.

[0029] Preferably, the above-mentioned method for pushing intelligent vehicle charging services further includes:

[0030] When a vehicle is detected to have finished charging at a service charging station, the charging fee will be automatically deducted from the pre-linked payment account.

[0031] The vehicle navigation endpoint is automatically restored to the original destination, and a new navigation path is generated from the vehicle's current location to the original destination.

[0032] Another aspect of the present disclosure provides a vehicle intelligent charging service push device, which includes:

[0033] The search module is configured to search for nearby charging stations based on the vehicle's current location.

[0034] The recall module is configured to recall the searched charging service stations based on the first data tag and obtain a recommended list of charging service stations.

[0035] The recognition module is configured to identify the current vehicle usage scenario based on the second data tag;

[0036] The determination module is configured to determine at least one push method associated with the current car use scenario based on the car use scenario, and each push method corresponds to a different terminal.

[0037] The push module is configured to send a list of recommended charging service stations to the corresponding touchpoints through at least one push channel.

[0038] In another aspect, embodiments of this disclosure provide an electronic device comprising:

[0039] One or more processors;

[0040] A storage device for storing one or more programs, which, when executed by one or more processors, cause the electronic device to implement the steps of the above-described vehicle smart charging service push method.

[0041] The advantages of this disclosure compared to existing technologies are as follows: This intelligent vehicle charging service push method searches for nearby charging service stations based on the vehicle's current location; recalls the searched charging service stations based on a first data tag to obtain a recommended list of charging service stations; identifies the current vehicle usage scenario based on a second data tag; determines at least one push method associated with the current vehicle usage scenario based on the usage scenario, with each push method corresponding to a different touch terminal; and sends the recommended list of charging service stations to the corresponding touch terminal through the at least one push channel. This allows users to promptly obtain charging services pushed based on the vehicle's current location in various vehicle usage scenarios. Since the pushed charging services are the result of recalling and sorting the searched charging service stations based on data tags, they have strong user personalization and meet the differentiated and personalized needs of different users for charging services. Attached Figure Description

[0042] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application. It is obvious that the drawings described below are merely some embodiments of this application, and those skilled in the art can obtain other drawings based on these drawings without any inventive effort. In the drawings:

[0043] Figure 1 This is a flowchart illustrating a method for pushing intelligent charging services for vehicles according to an embodiment of this disclosure;

[0044] Figure 2 This is a schematic diagram of the structure of a vehicle intelligent charging service push device provided in an embodiment of this disclosure;

[0045] Figure 3 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this disclosure. Detailed Implementation

[0046] The following specific examples illustrate the implementation of this disclosure. Those skilled in the art can easily understand other advantages and effects of this disclosure from the content disclosed in this specification. This disclosure can also be implemented or applied through other different specific embodiments, and various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of this disclosure. It should be noted that, unless otherwise specified, the following embodiments and sub-samples in the embodiments can be combined with each other.

[0047] It should be noted that the illustrations provided in the following embodiments are only schematic representations of the basic concept of this disclosure. Therefore, the drawings only show the components related to this disclosure and are not drawn according to the number, shape and size of the components in actual implementation. In actual implementation, the form, quantity and proportion of each component can be arbitrarily changed, and the layout of the components may also be more complex.

[0048] Numerous details are explored in the following description to provide a more thorough explanation of embodiments of the present disclosure. However, it will be apparent to those skilled in the art that embodiments of the present disclosure may be practiced without these specific details. In other embodiments, well-known structures and devices are shown in block diagram form rather than in detail to avoid obscuring embodiments of the present disclosure.

[0049] The terms "first," "second," etc., used in the specification, claims, and accompanying drawings of this disclosure are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate for the embodiments of this disclosure described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion.

[0050] Unless otherwise stated, the term "multiple" means two or more.

[0051] In this embodiment of the disclosure, the character " / " indicates that the objects before and after it are in an "or" relationship. For example, A / B means: A or B.

[0052] The term "and / or" describes an association between objects, indicating that three relationships can exist. For example, A and / or B means: A or B, or A and B.

[0053] Please see Figure 1 This is a flowchart illustrating the vehicle intelligent charging service push method provided in this embodiment. The execution subject of this vehicle intelligent charging service push method can be an electronic device such as a server. For ease of understanding, the following will use a server as the execution subject to describe the technical solution in detail.

[0054] like Figure 2 As shown, the method for pushing out the vehicle's smart charging service includes:

[0055] Step S101: Based on the vehicle's current location, search for nearby charging stations;

[0056] Step S102: Based on the first data tag, recall the searched charging service stations to obtain a recommended list of charging service stations;

[0057] Step S103: Identify the current vehicle usage scenario based on the second data tag;

[0058] Step S104: Based on the car usage scenario, determine at least one push method associated with the current car usage scenario, and each push method corresponds to a different reach terminal;

[0059] Step S105: The list of recommended charging service stations is sent to the corresponding touch terminals through at least one push channel.

[0060] Specifically, the touchpoint can be either software or hardware. If the touchpoint is hardware, it can include, but is not limited to, devices such as mobile phones, tablets, smart wearable devices, and in-vehicle systems; if the touchpoint is software, it can be an application installed on the aforementioned hardware, such as a smart voice assistant application and navigation application installed on an in-vehicle system, or a vehicle application installed on a mobile phone.

[0061] The aforementioned intelligent vehicle charging service push method searches for nearby charging service stations based on the vehicle's current location; recalls the searched charging service stations based on a first data tag to obtain a recommended list of charging service stations; identifies the current vehicle usage scenario based on a second data tag; determines at least one push method associated with the current vehicle usage scenario based on the usage scenario, with each push method corresponding to a different touch terminal; and sends the recommended list of charging service stations to the corresponding touch terminal through the at least one push channel. This allows users to promptly obtain charging services pushed based on the vehicle's current location in various vehicle usage scenarios. Furthermore, since the pushed charging services are based on the result of recalling and sorting the searched charging service stations using data tags, they possess strong user personalization, satisfying the differentiated and personalized needs of different users for charging services.

[0062] In step S101 above, the system can first search for charging service stations within a first preset distance range around the vehicle, centered on the vehicle. If the search results do not meet expectations, for example, if the number of charging service stations does not reach a preset value, then the system can search for charging service stations within a second preset distance range around the vehicle to obtain the expected search results. These charging service stations can be those installed by the vehicle manufacturer itself, or they can be those installed by other manufacturers or companies; this embodiment of the disclosure does not limit this.

[0063] In steps S102 and S103 above, both the first data tag and the second data tag are tags generated based on service data using a preset tag generation strategy or algorithm. The tag generation strategy or algorithm can be an existing strategy or algorithm, and this embodiment of the disclosure does not impose any limitations on it.

[0064] In this embodiment, the first data tag can be at least one of user tags, vehicle tags, content service tags, and scenario tags; similarly, the second data tag can also be at least one of user tags, vehicle tags, content service tags, and scenario tags. Specifically, user tags include, but are not limited to, service preferences, driving behavior, price preferences, and brand category preferences; vehicle tags include, but are not limited to, energy consumption tags and service strategy tags; content service tags include, but are not limited to, service categories, service attributes, and service characteristics; and scenario tags include, but are not limited to, user driving scenarios and vehicle environment scenarios. Furthermore, the service data in this embodiment includes, but is not limited to, at least one of user basic data, user behavior data, vehicle basic data, vehicle behavior data, vehicle camera data, and map application data.

[0065] For example, the server generates user tags by performing single or combined calculations using basic user data, behavioral data, driving habit data, and other data. These user tags can then be combined to create user profiles, which can be used to predict user needs and preferences, providing a basis for recalling charging service stations. Alternatively, the server can generate vehicle tags using basic vehicle status data, vehicle energy consumption data, and vehicle application power consumption data. Similarly, these vehicle tags can be combined to create vehicle profiles, which can be used to determine the vehicle's usage scenarios.

[0066] In some embodiments, Figure 1 Based on data tags, the system recalls the searched charging service stations to obtain a recommended list of charging service stations, including: determining a recall strategy based on the first data tag; filtering and sorting the searched charging service stations based on the recall strategy to obtain a candidate set of charging service stations; and rearranging the candidate set based on at least one of business rules, service strategies, and operational interventions to obtain a recommended list of charging service stations.

[0067] Recall refers to triggering as many correct results as possible from the full set of information and returning the results to the "ranking". In this embodiment, the working principle of recall is as follows: based on the recall strategy, several target charging service stations are selected from the searched charging service stations, and these target charging service stations are ranked. Since recall is a mature technology, it will not be elaborated further here.

[0068] For example, the server first calculates whether the user can reach their destination with the current battery level based on user profiles, vehicle profiles, and map navigation data, and assesses the remaining battery level after reaching the destination, making a risk assessment of the trip's battery usage. Then, when a battery usage risk is detected, the server initially screens charging service stations based on the vehicle's current location and forms a candidate set of service resources based on a service content recall strategy. Based on factors such as the user's map navigation plan, the service station's operational status, user experience evaluation, location, and whether it supports automatic billing, and combined with the server platform's business rules and service strategies, the candidate set is comprehensively ranked. Finally, operational intervention (such as operational strategies) is used to re-rank the comprehensive ranking, forming a Top1-TopN recommendation list of charging service stations (N being a positive integer greater than 1).

[0069] In step S103 above, the vehicle usage scenario includes, but is not limited to, at least one of the following scenarios: the user is driving; the user is resting at a service area and is not in the vehicle; the user is resting in the vehicle and the vehicle is in P gear; the user is browsing an application terminal.

[0070] In this embodiment, the server can combine user profiles and vehicle profiles, based on user behavior characteristics and vehicle driving characteristics, to determine the demand scenario. Then, it can use a push notification mode that matches the current scenario to push a recommended list of charging service stations to the user.

[0071] In some embodiments, based on the driving scenario, at least one push method associated with the current driving scenario is determined, each push method corresponding to a different terminal, including: when the driving scenario is that the user is driving, the target push method is determined to be voice push from the vehicle's smart assistant and / or in-app service recommendations from the map navigation application; when the driving scenario is that the user is resting at a service area and is not in the car, the target push method is determined to be PUSH notifications from the mobile phone system and / or in-station message notifications; when the user is resting in the car and the vehicle is in P gear, the target push method is message notifications from the vehicle's system and / or voice push from the smart assistant; when the user is browsing an application terminal, the target push method is in-app service notifications from the mobile phone system. This embodiment achieves the effect of using different push channels to push the recommended list of charging service stations in different driving scenarios.

[0072] Specifically, the push method corresponding to each car use scenario can be preset, or the push method of the car use scenario can be modified in actual application based on service data or user settings, etc. This disclosure embodiment does not limit this.

[0073] When a specific driving scenario corresponds to at least two push notification methods, priority or weight can be set for these two methods. For example, when the user is driving, the focus is on voice push notifications from the smart assistant, making voice push notifications from the vehicle's smart assistant the primary method, while in-app service recommendations from map navigation are secondary. When the user is resting in the car with the gear in Park (P), the focus is on push notifications from the vehicle's infotainment system, making message notifications from the vehicle's infotainment system the primary method, while voice push notifications from the smart assistant are secondary. When the user is resting at a service area and not in the car, the focus is on push notifications from the mobile app, making push notifications from the mobile app the primary method. When the user is browsing applications, the focus is on in-app service recommendations and site messages, making in-app service notifications from the mobile app the primary method.

[0074] Furthermore, if the server pushes the list of recommended charging service stations using the primary push method and does not detect any user feedback or response within a preset time, it can then push the list using the secondary push method. Specifically, when pushing using the secondary push method, if a change in the vehicle's location is detected compared to the previous push, a new list of recommended charging service stations can be generated and pushed using the secondary push method.

[0075] In some embodiments, after sending the recommended list of charging service stations to the corresponding access terminal through the at least one push channel, the method further includes: obtaining user feedback on the recommended list, the feedback including the user selecting a service charging station in the recommended list as the target; and when it is detected that the vehicle is currently in navigation mode, generating a navigation path with the service charging station corresponding to the user's selected target as the destination.

[0076] Specifically, when the recommended service meets a user's needs, the user can select a target charging service station on the corresponding touchpoint. The touchpoint can then provide further service feedback based on this selection. For example, when the touchpoint is not connected to the vehicle's infotainment system, the system's navigation automatically changes the route from "current → destination" to "current → charging service station → destination," and monitors the service station's operation, queuing status, and basic charging station information in real time, providing feedback to the user.

[0077] Following this, after the vehicle arrives at the target charging station selected by the user for charging, the above-mentioned vehicle intelligent charging service push method may further include: detecting the vehicle's charging status; when the vehicle is detected to have completed charging at the service charging station, automatically deducting the vehicle charging fee from the pre-bound payment account based on the payment account; automatically restoring the vehicle navigation endpoint to the original destination, and regenerating the navigation path from the vehicle's current location to the original destination.

[0078] Specifically, users can link their payment account to their mobile phone or vehicle system in advance. After the charging service is completed, they can make a seamless payment for the service fee using a smart assistant or their mobile phone, saving users time on manual payments and improving the efficiency of the charging service.

[0079] All of the above-mentioned optional technical solutions can be combined in any way to form the optional embodiments of this application, and will not be described in detail here.

[0080] The following are embodiments of the apparatus disclosed herein, which can be used to execute embodiments of the method disclosed herein. For details not disclosed in the apparatus embodiments of this disclosure, please refer to the embodiments of the method disclosed herein.

[0081] Figure 2 This is a schematic diagram of a vehicle intelligent charging service push device provided in an embodiment of this disclosure. Figure 2 As shown, the vehicle intelligent charging service push device includes:

[0082] Search module 201 is configured to search for nearby charging stations based on the vehicle's current location;

[0083] The recall module 202 is configured to recall the searched charging service stations based on the first data tag and obtain a recommended list of charging service stations.

[0084] The identification module 203 is configured to identify the current vehicle usage scenario based on the second data tag;

[0085] The determination module 204 is configured to determine at least one push method associated with the current car use scenario based on the car use scenario, and each push method corresponds to a different reach terminal;

[0086] The push module 205 is configured to send the recommended list of charging service stations to the corresponding touch terminals through at least one push channel.

[0087] This embodiment searches for nearby charging service stations based on the vehicle's current location; recalls the found charging service stations based on a first data tag to obtain a recommended list of charging service stations; identifies the current driving scenario based on a second data tag; determines at least one push method associated with the current driving scenario based on the driving scenario, with each push method corresponding to a different touchpoint; and sends the recommended list of charging service stations to the corresponding touchpoints through the at least one push channel. This allows users to promptly obtain charging services pushed based on the vehicle's current location in various driving scenarios. Furthermore, the pushed charging services are the result of recalling and sorting the searched charging service stations based on data tags, thus possessing strong user personalization and meeting the differentiated and personalized needs of different users for charging services.

[0088] In some embodiments, the first data tag and the second data tag each include at least one of the following tags established based on service data: user tag, vehicle tag, content service tag, and scene tag.

[0089] In some embodiments, the service data includes at least one of the following: basic user data, user behavior data, basic vehicle data, vehicle behavior data, vehicle camera data, and map application data.

[0090] In some embodiments, Figure 2 The recall module 202 is specifically configured to determine a recall strategy based on the first data tag; based on the recall strategy, filter and sort the searched charging service stations to obtain a candidate set of charging service stations; and based on at least one of business rules, service strategies and operational interventions, rearrange the candidate set to obtain a recommended list of charging service stations.

[0091] In some embodiments, the vehicle usage scenario includes at least one of the following scenarios: the user is driving; the user is resting at a service area and is not in the vehicle; the user is resting in the vehicle and the vehicle is in P gear; the user is browsing an application terminal.

[0092] In some embodiments, Figure 2 The determination module 204 is specifically configured as follows: when the user is driving, the target push method is determined to be voice push from the vehicle's smart assistant and / or in-app service recommendations from the map navigation application; when the user is resting at a service area and not in the car, the target push method is determined to be PUSH notifications from the mobile phone system and / or in-app message notifications; when the user is resting in the car and the vehicle is in P gear, the target push method is message notifications from the vehicle's system and / or voice push from the smart assistant; when the user is browsing an application terminal, the target push method is in-app service notifications from the mobile phone system.

[0093] In some embodiments, the vehicle smart charging service push device includes:

[0094] The acquisition module 206 is configured to acquire user feedback on the recommendation list, including the user's selection of a service charging station in the recommendation list as the target.

[0095] The navigation module 207 is configured to generate a navigation path with the service charging station corresponding to the user's selected target as the destination when the vehicle is detected to be in navigation mode.

[0096] In some embodiments, the vehicle smart charging service push device includes:

[0097] Payment module 208 is configured to automatically deduct the vehicle charging fee from a pre-linked payment account when the system detects that the vehicle has finished charging at a service charging station.

[0098] Figure 2 The navigation module 207 is also configured to automatically restore the vehicle navigation endpoint to the original destination and regenerate the navigation path from the vehicle's current location to the original destination.

[0099] like Figure 3 The diagram shown is a structural schematic of an electronic device provided in an embodiment of this disclosure. This electronic device is preferably a server.

[0100] like Figure 3 As shown, the electronic device includes a processor 301, a memory 302, and a computer program 303 stored in the memory 302 and executable on the processor 301. When the processor 301 executes the computer program 303, it implements the steps in the various method embodiments described above. Alternatively, when the processor 301 executes the computer program 303, it implements the functions of each module / unit in the various device embodiments described above.

[0101] Electronic device 3 may include, but is not limited to, processor 301 and memory 302. Those skilled in the art will understand that... Figure 3 This is merely an example of electronic device 3 and does not constitute a limitation on electronic device 3. It may include more or fewer components than shown, or different components.

[0102] The processor 301 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc.

[0103] The memory 302 can be an internal storage unit of the electronic device 3, such as a hard disk or RAM. The memory 302 can also be an external storage device of the electronic device 3, such as a plug-in hard disk, Smart Media Card (SMC), Secure Digital (SD) card, or Flash Card. The memory 302 can also include both internal and external storage units of the electronic device 3. The memory 302 is used to store computer programs and other programs and data required by the electronic device.

[0104] Specifically, according to embodiments of this application, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments of this application include a computer program product comprising a computer program carried on a computer-readable medium, the computer program including a computer program for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network communicatively, and / or installed from a removable medium. When the computer program is executed by a processor (CPU), it performs various functions defined in the system of this application.

[0105] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the embodiments of this disclosure. Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0106] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of methods, apparatus, and computer program products according to embodiments of the present disclosure. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. In some alternative implementations, the functions marked in the blocks may occur in a different order than that shown in the drawings. For example, two consecutive blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. In the descriptions corresponding to the flowcharts and block diagrams in the accompanying drawings, the operations or steps corresponding to different blocks may also occur in a different order than disclosed in the description, and sometimes there is no specific order between different operations or steps. For example, two consecutive operations or steps may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. Each block in a block diagram and / or flowchart, and combinations of blocks in a block diagram and / or flowchart, can be implemented using a dedicated hardware-based system that performs the specified function or action, or using a combination of dedicated hardware and computer instructions.

Claims

1. A method for pushing intelligent vehicle charging services, characterized in that, include; Based on the vehicle's current location, search for nearby charging stations; Based on the first data tag, a recall strategy is determined, and based on the recall strategy, target charging service stations are selected from the searched charging service stations, and these target charging service stations are sorted to obtain a candidate set of charging service stations; and based on at least one of business rules, service strategies and operational interventions, the candidate set is rearranged to obtain a recommended list of charging service stations. Based on the second data tag, identify the current vehicle usage scenario; Based on the vehicle usage scenario, at least one push method associated with the current vehicle usage scenario is determined, and each push method corresponds to a different reach terminal; The recommended list of charging service stations is sent to the corresponding touch terminals through at least one of the push methods; Obtain user feedback on the recommendation list, including user selection of a service charging station from the recommendation list as the target; When the system detects that the vehicle is currently in navigation mode, it generates a navigation route with the service charging station corresponding to the user's selected target as the destination, and monitors the operation status, queuing status, and basic information of the service charging station in real time and provides feedback. When a vehicle is detected to have finished charging at a service charging station, the charging fee is automatically deducted from the pre-linked payment account. The vehicle navigation endpoint is automatically restored to the original destination, and a new navigation path is generated from the vehicle's current location to the original destination.

2. The vehicle intelligent charging service push method according to claim 1, characterized in that, The first data tag and the second data tag each include at least one of the following tags established based on service data: user tag, vehicle tag, content service tag, and scene tag.

3. The vehicle intelligent charging service push method according to claim 2, characterized in that, The service data includes at least one of the following: basic user data, user behavior data, basic vehicle data, vehicle behavior data, vehicle camera data, and map application data.

4. The vehicle intelligent charging service push method according to claim 1, characterized in that, The vehicle usage scenarios include at least one of the following scenarios: The user is driving; The user is resting at the service area and is not in the vehicle; The user is resting in the car, and the vehicle is in the P gear. Users are browsing application terminals.

5. The vehicle intelligent charging service push method according to claim 4, characterized in that, Based on the vehicle usage scenario, at least one push method associated with the current vehicle usage scenario is determined, and each push method corresponds to a different reach terminal, including: When the user is driving, the target push method is determined to be voice push from the vehicle's smart assistant or / and in-app service recommendations from the map navigation application. When the user is resting at a service area and not in the car, the push notification method will be determined to be the mobile system PUSH notification and / or in-site message notification. When the user is resting in the car and the vehicle is in P gear, the system will select vehicle system message notifications and / or smart assistant voice push as the target push method. When a user is browsing an application, the system will select in-system service notifications as the target push method.

6. A vehicle intelligent charging service push device, characterized in that, include; The search module is configured to search for nearby charging stations based on the vehicle's current location. The recall module is configured to recall the searched charging service stations based on a first data tag, determine a recall strategy, and based on the recall strategy, filter out target charging service stations from the searched charging service stations, sort these target charging service stations to obtain a candidate set of charging service stations; and rearrange the candidate set based on at least one of business rules, service strategies and operational interventions to obtain a recommended list of charging service stations. The recognition module is configured to identify the current vehicle usage scenario based on the second data tag; The determination module is configured to determine at least one push method associated with the current driving scenario based on the driving scenario, and each push method corresponds to a different terminal. The push module is configured to send a recommended list of charging service stations to the corresponding touchpoint terminal via at least one push method, obtain user feedback on the recommended list, including user selection of a service charging station from the recommended list as the target; when the vehicle is detected to be in navigation mode, generate a navigation path with the service charging station corresponding to the user's selected target as the destination, and monitor the operation status, queuing status, and basic information of the service charging station in real time for information feedback; when the vehicle is detected to have completed charging at the service charging station, automatically deduct the vehicle charging fee from the pre-bound payment account; automatically restore the vehicle navigation endpoint to the original destination, and regenerate a navigation path from the vehicle's current location to the original destination.

7. An electronic device, characterized in that, include: One or more processors; A storage device for storing one or more programs, which, when executed by one or more processors, cause the electronic device to perform the method steps as described in any one of claims 1 to 5.

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