Intelligent refueling planning method and device based on oil price information and vehicle

Abstract

The invention discloses an intelligent refueling planning method and device based on oil price information and a vehicle, and belongs to the technical field of vehicle fuel data processing, and the method comprises a cloud end which is used for obtaining related data of oil price fluctuation, determining oil price fluctuation data according to the related data of the oil price fluctuation, and transmitting the oil price fluctuation data to a vehicle machine module; and the vehicle machine module is used for acquiring the oil price fluctuation data and the remaining oil quantity of the current vehicle, judging whether oil price fluctuation notification is carried out or not according to the remaining oil quantity of the current vehicle, and if so, executing oil price fluctuation reminding and a refueling planning strategy corresponding to the oil price fluctuation. According to the invention, oil price information is collected in real time, timeliness and accuracy of refueling decision making of a vehicle owner are improved, refueling is intelligently reminded in combination with environmental factors, inconvenience caused by refueling in peak hours is avoided, automatic path planning is realized, operation of the vehicle owner is simplified, user experience is improved, personalized setting is provided, and requirements of different vehicle owners are met.

Description

Technical Field

[0001] The invention discloses an intelligent refueling planning method, device and vehicle based on oil price information, and belongs to the technical field of vehicle fuel data processing. Background Art

[0002] With the development of automobile intelligence, the in-vehicle intelligent cockpit system has become an important part of modern automobiles. However, most of the existing in-vehicle systems focus on entertainment and navigation functions, and lack intelligent solutions for the actual needs of car owners, such as oil price monitoring and refueling reminders. Especially in the context of frequent fluctuations in oil prices, car owners often find it difficult to obtain the latest oil price information, thus missing the opportunity to refuel when oil prices are low. Summary of the invention

[0003] In view of the defects of the prior art, the present invention proposes an intelligent refueling planning method, device and vehicle based on oil price information. By combining large model technology to collect news on oil price increases in real time, combined with environmental factors, the car owner is intelligently reminded to refuel, and the route to the gas station is automatically planned after the car owner accepts the suggestion.

[0004] The technical solution of the present invention is as follows:

[0005] According to a first aspect of an embodiment of the present invention, there is provided an intelligent refueling planning system based on oil price information, comprising:

[0006] The cloud is used to obtain relevant data on oil price fluctuations, determine oil price fluctuation data based on the relevant data on oil price fluctuations, and send the data to the vehicle computer module;

[0007] The vehicle computer module is used to obtain oil price fluctuation data and the current remaining oil level of the vehicle, and determine whether to issue an oil price fluctuation notification based on the current remaining oil level of the vehicle. If so, execute the oil price fluctuation reminder and the corresponding oil price fluctuation refueling planning strategy.

[0008] Preferably, the obtaining of relevant data on oil price fluctuations includes: the cloud obtaining relevant data on oil price fluctuations at least through authoritative news websites, API interfaces of official oil price publishing platforms, and information sources of social media.

[0009] Preferably, the determining the oil price fluctuation data according to the oil price fluctuation related data and sending it to the vehicle machine module includes:

[0010] The cloud pre-processes the oil price fluctuation related data to obtain processed oil price fluctuation related data;

[0011] The processed oil price fluctuation related data are screened by using the keyword "domestic oil price adjustment news" to obtain the latest domestic oil price adjustment data;

[0012] Arrange the latest domestic oil price adjustment data in reverse order of date and take the first five latest news as candidate data, process the candidate data in a specific format for oil price adjustment and then pour it into the neural network judgment model;

[0013] The neural network judgment model analyzes the oil price adjustment content in the candidate data in the specific format of oil price adjustment to obtain oil price fluctuation data, and the oil price fluctuation data at least includes: oil price adjustment, adjustment time and amplitude.

[0014] According to a second aspect of an embodiment of the present invention, there is provided a method for intelligent refueling planning based on oil price information, comprising:

[0015] Obtaining oil price fluctuation data and the current remaining oil level of the vehicle, and determining whether to issue an oil price fluctuation notification based on the oil price fluctuation data and the current remaining oil level of the vehicle;

[0016] If so, implement oil price fluctuation reminders and refueling planning strategies corresponding to oil price fluctuations.

[0017] Preferably, before determining whether to issue an oil price fluctuation notification based on the current remaining oil level of the vehicle, the method further includes:

[0018] Get the oil price fluctuation reminder status to determine whether the reminder function is enabled:

[0019] If yes, proceed to the next step to determine whether to issue a fuel price fluctuation notification based on the current remaining fuel level of the vehicle;

[0020] No, no alert actions related to oil price fluctuations will be performed.

[0021] Preferably, the oil price fluctuation reminder includes:

[0022] Oil price increase reminder, including: the extent of oil price increase and specific adjustment time;

[0023] Oil price drop reminder, including: the extent of oil price drop and specific adjustment time.

[0024] Preferably, the determining whether to issue an oil price fluctuation notification based on the oil price fluctuation data and the current remaining oil amount of the vehicle includes:

[0025] When the oil price in the oil price fluctuation data is adjusted to increase, it is determined whether the remaining oil volume of the current vehicle is lower than the oil price fluctuation reminder threshold preset by the vehicle owner:

[0026] Yes, proceed to the next step to execute the oil price increase reminder;

[0027] No, do not trigger the oil price increase alert and make a new judgment;

[0028] When the oil price in the oil price fluctuation data is adjusted to a decrease, when the navigation destination is obtained as a gas station, it is determined whether the remaining oil level of the current vehicle has not reached the refueling red line threshold set by the vehicle owner:

[0029] Yes, proceed to the next step to execute the oil price drop reminder;

[0030] No, the oil price increase alert will not be triggered and a new judgment will be made.

[0031] Preferably, the refueling planning strategy for oil price fluctuations includes:

[0032] When the oil price fluctuation reminder is an oil price increase reminder, the refueling planning strategy for the oil price fluctuation is:

[0033] Provide refueling suggestions to car owners based on current road conditions;

[0034] Obtain feedback information and perform corresponding operations, wherein the feedback information includes: go to refuel now, remind me next time I use the car, and cancel the reminder.

[0035] Preferably, the refueling planning strategy for oil price fluctuations includes:

[0036] When the oil price fluctuation reminder is an oil price drop reminder, the refueling planning strategy for the oil price fluctuation is:

[0037] Provide refueling suggestions to car owners based on current road conditions;

[0038] Obtain feedback information and perform corresponding operations, wherein the feedback information includes: canceling the current navigation, reminding after the oil price drops, and canceling the reminder.

[0039] According to a third aspect of an embodiment of the present invention, there is provided an intelligent refueling planning device based on oil price information, comprising:

[0040] An acquisition module, used to acquire oil price fluctuation data and the current remaining oil amount of the vehicle, and determine whether to issue an oil price fluctuation notification based on the oil price fluctuation data and the current remaining oil amount of the vehicle;

[0041] The execution module is used to execute the oil price fluctuation reminder and the refueling planning strategy corresponding to the oil price fluctuation.

[0042] According to a fourth aspect of an embodiment of the present invention, there is provided a vehicle, comprising:

[0043] one or more processors;

[0044] a memory for storing the one or more processor-executable instructions;

[0045] Wherein, the one or more processors are configured to:

[0046] Execute the method described in the second aspect of the embodiment of the present invention.

[0047] According to a fifth aspect of an embodiment of the present invention, a non-temporary computer-readable storage medium is provided. When instructions in the storage medium are executed by a processor of a terminal, the terminal is enabled to execute the method described in the second aspect of the embodiment of the present invention.

[0048] According to a fifth aspect of the embodiments of the present invention, an application product is provided. When the application product is running on a terminal, the terminal executes the method described in the second aspect of the embodiments of the present invention.

[0049] The beneficial effects of the present invention are:

[0050] The present invention provides an intelligent refueling planning method, device and vehicle based on oil price information, which collect oil price information in real time, improve the timeliness and accuracy of the car owner's refueling decision, intelligently remind refueling in combination with environmental factors, avoid the inconvenience caused by refueling during peak hours, automate route planning, simplify the owner's operation, improve user experience, provide personalized settings, and meet the needs of different car owners.

[0051] It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] Figure 1 The present invention is a flowchart of a method for intelligent refueling planning based on oil price information according to an exemplary embodiment.

[0053] Figure 2 The present invention is a schematic block diagram of the structure of an intelligent refueling planning device based on oil price information according to an exemplary embodiment.

[0054] Figure 3 The present invention is a schematic block diagram of a vehicle structure according to an exemplary embodiment. DETAILED DESCRIPTION

[0055] The technical solution of the present invention will be described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments are only 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.

[0056] In the description of the present invention, it should be noted that the terms "center", "up", "down", "left", "right", "vertical", "horizontal", "inside", "outside", etc. indicate directions or positional relationships based on the directions or positional relationships shown in the accompanying drawings. They are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific direction, be constructed and operated in a specific direction. Therefore, they cannot be understood as limitations on the present invention.

[0057] In the description of the present invention, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0058] Embodiment 1: According to an exemplary embodiment, an intelligent refueling planning system based on oil price information is shown, including:

[0059] The cloud is used to obtain relevant data on oil price fluctuations, determine oil price fluctuation data based on the relevant data on oil price fluctuations, and send the data to the vehicle computer module. The specific contents are as follows:

[0060] The cloud obtains relevant data on oil price fluctuations through at least authoritative news websites, API interfaces of official oil price release platforms and information sources of social media, and performs pre-processing on the relevant data on oil price fluctuations such as deduplication, cleaning and formatting to obtain processed relevant data on oil price fluctuations.

[0061] The processed data related to oil price fluctuations are filtered by the keyword "domestic oil price adjustment news" to obtain the latest domestic oil price adjustment data. The latest domestic oil price adjustment data are arranged in reverse order by date and the first five latest news are taken as candidate data. The candidate data are processed in a specific format for oil price adjustment and poured into the neural network judgment model. The specific format for oil price adjustment preferably adopts the mode of "starting from XX / XX / XXXX, the domestic gasoline and diesel prices will increase by XX yuan and XX yuan per liter respectively".

[0062] The neural network judgment model analyzes the oil price adjustment content in the candidate data in the specific format of oil price adjustment to obtain oil price fluctuation data, which at least includes: oil price adjustment, adjustment time and amplitude. The oil price fluctuation data determines whether it is necessary to issue an oil price adjustment reminder. If there is no fluctuation, it does not need to be issued. If there is fluctuation, a reminder needs to be issued and sent to the vehicle computer module.

[0063] The vehicle computer module is used to obtain oil price fluctuation data and the current remaining oil level of the vehicle, and determine whether to issue an oil price fluctuation notification based on the current remaining oil level of the vehicle. If so, execute the oil price fluctuation reminder and the corresponding oil price fluctuation refueling planning strategy.

[0064] Embodiment 2: Figure 1 The present invention is a flowchart of a method for intelligent refueling planning based on oil price information according to an exemplary embodiment, including:

[0065] Step 101, obtain oil price fluctuation data and the current remaining oil volume of the vehicle, and determine whether to issue an oil price fluctuation notification based on the oil price fluctuation data and the current remaining oil volume of the vehicle. The specific contents are as follows:

[0066] Before determining whether to issue a fuel price fluctuation notification based on the current remaining fuel level of the vehicle, the following steps are also included:

[0067] Get the oil price fluctuation reminder status to determine whether the reminder function is enabled:

[0068] If yes, proceed to the next step to determine whether to issue a fuel price fluctuation notification based on the current remaining fuel level of the vehicle;

[0069] No, no alert actions related to oil price fluctuations will be performed.

[0070] When the oil price in the oil price fluctuation data is adjusted to increase, it is determined whether the current remaining oil level of the vehicle is lower than the oil price fluctuation reminder threshold preset by the owner:

[0071] Yes, proceed to the next step to execute the oil price increase reminder;

[0072] No, do not trigger the oil price increase alert and make a new judgment;

[0073] When the oil price in the oil price fluctuation data is adjusted to a decrease, when the navigation destination is a gas station, it is determined whether the remaining fuel of the current vehicle has not reached the refueling red line threshold set by the owner:

[0074] Yes, proceed to the next step to execute the oil price drop reminder;

[0075] No, the oil price increase alert will not be triggered and a new judgment will be made.

[0076] Step 102: If yes, execute the fuel price fluctuation reminder and the fuel planning strategy corresponding to the fuel price fluctuation, the specific contents are as follows:

[0077] The above-mentioned oil price fluctuation reminders include: oil price increase reminders, which include: the extent of oil price increase and the specific adjustment time; oil price decrease reminders, which include: the extent of oil price decrease and the specific adjustment time.

[0078] The refueling planning strategy for oil price fluctuations is as follows:

[0079] When the oil price fluctuation reminder is an oil price increase reminder, the refueling planning strategy for the oil price fluctuation is:

[0080] Provide refueling suggestions to car owners based on current road conditions;

[0081] Obtain feedback information and perform corresponding operations, wherein the feedback information includes: go to refuel now, remind me next time I use the car, and cancel the reminder;

[0082] When the feedback information is to go refuel now, the corresponding operation is to automatically open the navigation to the nearby gas station; when the feedback information is to remind me the next time I use the car, the corresponding operation is to remind the owner to refuel the next time I use the car and the oil price increase date has not passed; when the feedback information is to cancel the reminder, the corresponding operation is to cancel the reminder of the oil price increase.

[0083] When the oil price fluctuation reminder is an oil price drop reminder, the refueling planning strategy for the oil price fluctuation is:

[0084] Provide refueling suggestions to car owners based on current road conditions;

[0085] Obtain feedback information and perform corresponding operations, wherein the feedback information includes: canceling the current navigation, reminding after the oil price drops, and canceling the reminder.

[0086] When the feedback information is to cancel the current navigation, the corresponding operation is to automatically cancel the current navigation and re-ask the car owner of the destination to make a new navigation plan; when the feedback information is a reminder after the oil price drops, the corresponding operation is after the oil price drops, if the car owner uses the car again, a reminder that the oil price has dropped will be initiated, and the car owner is advised to go to refuel; when the feedback information is to cancel the reminder, the corresponding operation is to end the oil price drop reminder process.

[0087] Embodiment three: Figure 2 The present invention is a schematic block diagram of a structure of an intelligent refueling planning device based on oil price information according to an exemplary embodiment, the device comprising:

[0088] The acquisition module 210 is used to acquire oil price fluctuation data and the current remaining oil amount of the vehicle, and determine whether to issue an oil price fluctuation notification according to the oil price fluctuation data and the current remaining oil amount of the vehicle;

[0089] The execution module 220 is used to execute the oil price fluctuation reminder and the refueling planning strategy corresponding to the oil price fluctuation.

[0090] This application collects oil price information in real time to improve the timeliness and accuracy of car owners' refueling decisions, intelligently reminds them to refuel based on environmental factors, avoids the inconvenience caused by refueling during peak hours, automates route planning, simplifies car owner operations, improves user experience, and provides personalized settings to meet the needs of different car owners.

[0091] Embodiment 4: Figure 3 300 is a block diagram of a vehicle 300 provided in an embodiment of the present application. For example, the vehicle 300 may be a hybrid vehicle, a non-hybrid vehicle, an electric vehicle, a fuel cell vehicle, or other types of vehicles. The vehicle 300 may be an autonomous vehicle, a semi-autonomous vehicle, or a non-autonomous vehicle. The vehicle 300 may also be equipped with a brake-by-wire system.

[0092] Reference Figure 3 , the vehicle 300 may include various subsystems, for example, an infotainment system 310, a perception system 320, a decision control system 330, a drive system 340, and a computing platform 350. The vehicle 300 may also include more or fewer subsystems, and each subsystem may include multiple components. In addition, each subsystem and each component of the vehicle 300 may be interconnected by wire or wireless means.

[0093] In some embodiments, the infotainment system 310 may include a communication system, an entertainment system, and a navigation system, among others.

[0094] The perception system 320 may include several sensors for sensing information about the environment around the vehicle 300. For example, the perception system 320 may include a global positioning system (the global positioning system may be a GPS system, or a Beidou system or other positioning systems), an inertial measurement unit (IMU), a laser radar, a millimeter wave radar, an ultrasonic radar, and a camera.

[0095] The decision control system 330 may include a computing system, a vehicle controller, a steering system, a throttle, and a braking system.

[0096] The drive system 340 may include components that provide power movement for the vehicle 300. In one embodiment, the drive system 340 may include an engine, an energy source, a transmission system, and wheels. The engine may be one or a combination of an internal combustion engine, an electric motor, and an air compression engine. The engine is capable of converting energy provided by the energy source into mechanical energy.

[0097] Some or all functions of the vehicle 300 are controlled by a computing platform 350. The computing platform 350 may include at least one processor 351 and a memory 352, and the processor 351 may execute instructions 353 stored in the memory 352.

[0098] The processor 351 may be any conventional processor, such as a commercially available CPU. The processor may also include a graphics processor (Graphic Process Unit, GPU), a field programmable gate array (Field Programmable Gate Array, FPGA), a system on chip (System on Chip, SOC), an application specific integrated circuit (Application Specific Integrated Circuit, ASIC) or a combination thereof.

[0099] The memory 352 may be implemented by any type of volatile or nonvolatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic storage, flash memory, magnetic disk or optical disk.

[0100] In addition to instructions 353 , memory 352 may also store data, such as road maps, route information, vehicle location, direction, speed, etc. The data stored in memory 352 may be used by computing platform 350 .

[0101] In the embodiment of the present disclosure, the processor 351 can execute instruction 353 to complete all or part of the steps of the above-mentioned intelligent refueling planning method based on oil price information.

[0102] Embodiment 5: In an exemplary embodiment, a computer-readable storage medium is also provided, on which a computer program is stored. When the program is executed by a processor, an intelligent refueling planning method based on oil price information as provided in all the inventive embodiments of this application is implemented.

[0103] Any combination of one or more computer-readable media may be used. A computer-readable medium may be a computer-readable signal medium or a computer-readable storage medium. A computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination thereof. More specific examples (a non-exhaustive list) of computer-readable storage media include: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In this document, a computer-readable storage medium may be any tangible medium containing or storing a program that may be used by or in conjunction with an instruction execution system, device, or device.

[0104] Computer-readable signal media may include a data signal propagated in baseband or as part of a carrier wave, which carries a computer-readable program code. Such propagated data signals may take a variety of forms, including, but not limited to, electromagnetic signals, optical signals, or any suitable combination of the above. Computer-readable signal media may also be any computer-readable medium other than a computer-readable storage medium, which may send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device.

[0105] Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

[0106] Computer program code for performing the operations of the present invention may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0107] Embodiment 6: In an exemplary embodiment, an application product is also provided, including one or more instructions, which can be executed by the processor 351 of the above-mentioned device to complete the above-mentioned intelligent refueling planning method based on oil price information.

[0108] Although the embodiments of the present invention have been disclosed above, they are not limited to the applications listed in the specification and the embodiments. It can be fully applied to various fields suitable for the present invention. For those familiar with the art, additional modifications can be easily realized. Therefore, without departing from the general concept defined by the claims and equivalent scope, the present invention is not limited to the specific details and the illustrations shown and described here.

Claims

1. An intelligent refueling planning system based on oil price information, characterized in that: include: The cloud is used to obtain relevant data on oil price fluctuations, determine oil price fluctuation data based on the relevant data on oil price fluctuations, and send the data to the vehicle computer module; The vehicle computer module is used to obtain oil price fluctuation data and the current remaining oil level of the vehicle, and determine whether to issue an oil price fluctuation notification based on the current remaining oil level of the vehicle. If so, execute the oil price fluctuation reminder and the corresponding oil price fluctuation refueling planning strategy.

2. The intelligent refueling planning system based on oil price information according to claim 1 is characterized in that: The obtaining of relevant data on oil price fluctuations includes: the cloud obtaining relevant data on oil price fluctuations through at least an authoritative news website, an API interface of an official oil price publishing platform, and information sources of social media.

3. The intelligent refueling planning system based on oil price information according to claim 1 is characterized in that: The method of determining the oil price fluctuation data according to the oil price fluctuation related data and sending the data to the vehicle machine module includes: The cloud pre-processes the oil price fluctuation related data to obtain processed oil price fluctuation related data; The processed oil price fluctuation related data are filtered by the keyword "domestic oil price adjustment news" to obtain the latest domestic oil price adjustment data; Arrange the latest domestic oil price adjustment data in reverse order of date and take the first five latest news as candidate data, process the candidate data in a specific format for oil price adjustment and then pour it into the neural network judgment model; The neural network judgment model analyzes the oil price adjustment content in the candidate data in the specific format of oil price adjustment to obtain oil price fluctuation data, and the oil price fluctuation data at least includes: oil price adjustment, adjustment time and amplitude.

4. An intelligent refueling planning method based on oil price information, characterized in that: include: Obtaining oil price fluctuation data and the current remaining oil level of the vehicle, and determining whether to issue an oil price fluctuation notification based on the oil price fluctuation data and the current remaining oil level of the vehicle; If so, implement oil price fluctuation reminders and refueling planning strategies corresponding to oil price fluctuations.

5. The intelligent refueling planning method based on oil price information according to claim 4 is characterized in that: Before determining whether to issue a fuel price fluctuation notification according to the current remaining fuel amount of the vehicle, the method further includes: Get the oil price fluctuation reminder status to determine whether the reminder function is enabled: If yes, proceed to the next step to determine whether to issue a fuel price fluctuation notification based on the current remaining fuel level of the vehicle; No, no alert actions related to oil price fluctuations will be performed.

6. The intelligent refueling planning method based on oil price information according to claim 5 is characterized in that: The oil price fluctuation reminders include: Oil price increase reminder, including: the extent of oil price increase and specific adjustment time; Oil price drop reminder, including: the extent of oil price drop and specific adjustment time.

7. The intelligent refueling planning method based on oil price information according to claim 6 is characterized in that: The determining whether to issue an oil price fluctuation notification based on the oil price fluctuation data and the current remaining oil amount of the vehicle includes: When the oil price in the oil price fluctuation data is adjusted to increase, it is determined whether the remaining oil volume of the current vehicle is lower than the oil price fluctuation reminder threshold preset by the vehicle owner: Yes, proceed to the next step to execute the oil price increase reminder; No, do not trigger the oil price increase alert and make a new judgment; When the oil price in the oil price fluctuation data is adjusted to a decrease, when the navigation destination is obtained as a gas station, it is determined whether the remaining oil level of the current vehicle has not reached the refueling red line threshold set by the vehicle owner: Yes, proceed to the next step to execute the oil price drop reminder; No, the oil price increase alert will not be triggered and a new judgment will be made.

8. The intelligent refueling planning method based on oil price information according to claim 7 is characterized in that: The refueling planning strategy for oil price fluctuations includes: When the oil price fluctuation reminder is an oil price increase reminder, the refueling planning strategy for the oil price fluctuation is: Provide refueling suggestions to car owners based on current road conditions; Obtain feedback information and perform corresponding operations, wherein the feedback information includes: go to refuel now, remind me next time I use the car, and cancel the reminder; When the oil price fluctuation reminder is an oil price drop reminder, the refueling planning strategy for the oil price fluctuation is: Provide refueling suggestions to car owners based on current road conditions; Obtain feedback information and perform corresponding operations, wherein the feedback information includes: canceling the current navigation, reminding after the oil price drops, and canceling the reminder.

9. An intelligent refueling planning device based on oil price information, characterized in that: include: An acquisition module, used to acquire oil price fluctuation data and the current remaining oil amount of the vehicle, and determine whether to issue an oil price fluctuation notification based on the oil price fluctuation data and the current remaining oil amount of the vehicle; The execution module is used to execute the oil price fluctuation reminder and the refueling planning strategy corresponding to the oil price fluctuation.

10. A vehicle, characterized in that: include: processor; a memory for storing processor-executable instructions; Wherein, the processor is configured to execute the steps of the intelligent refueling planning method based on oil price information as described in any one of claims 4 to 9.

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