A method, system and electronic device for automatic charging based on user habits

Abstract

The application discloses a method, system and electronic device for automatic charging based on user habits, belonging to the technical field of new energy vehicles. According to the user's driving habits, a database is formed, the charging demand is predicted according to the database and real-time information of the vehicle, a charging plan is made, and automatic charging is realized. This method can improve charging efficiency, facilitate the driving needs of the owner, reduce charging costs and energy waste, and help reduce the damage of charging to the battery. The charging speed and charging capacity can be automatically adjusted according to the state of the battery and the charging demand, avoiding damage to the battery caused by overcharging or overdischarging, thereby prolonging the service life of the battery. It also helps to solve the problem of range anxiety. Since the charging process has become more convenient, the owner does not need to worry about the problem of running out of power and being unable to continue driving, thereby improving the use experience of new energy vehicles.

Description

Technical Field

[0001] This invention belongs to the field of new energy vehicle technology, specifically relating to a method, system, and electronic device for automatic charging based on user habits. Background Technology

[0002] With the increasing popularity of new energy vehicles, the charging issue has become increasingly important. Currently, charging new energy vehicles, especially using conventional charging methods, can take as long as 8 to 12 hours. This long charging time may affect users' daily travel plans, particularly for those who require fast charging, which could be inconvenient. Furthermore, users need to plan their travel and charging times in advance to avoid peak hours and understand the distribution of charging stations to choose the nearest one. Therefore, current charging methods suffer from low efficiency and require advance planning, with the inability to charge in a timely manner impacting users' vehicle usage needs. Summary of the Invention

[0003] The purpose of this invention is to solve the problems in the prior art by providing a method for automatic charging based on user habits, thereby addressing the technical problem of low charging efficiency in the prior art.

[0004] To achieve the above objectives, the present invention employs the following technical solution:

[0005] A method for automatic charging based on user habits includes:

[0006] S1: Obtain real-time vehicle information;

[0007] S2: Generate a charging plan based on real-time vehicle information and a database formed based on user habits;

[0008] S3: Automatically charges according to the charging plan and provides feedback on the charging status.

[0009] Preferably, the real-time vehicle information includes: remaining battery power, charging rate, and remaining driving range.

[0010] Preferably, generating a charging plan based on real-time vehicle information and a database formed based on user habits specifically includes:

[0011] Determine charging windows, trip requirements, and charging needs based on real-time vehicle information and vehicle usage data in the database;

[0012] A charging plan is generated based on the charging window, travel needs, and charging requirements.

[0013] Preferably, the vehicle usage data includes: daily driving records, regular charging time, driving distance, commuting route, commuting time, and charging frequency.

[0014] Preferably, during the charging process, the charging plan is adjusted according to charging demand and grid load based on real-time data provided by the feedback charging status.

[0015] Preferably, the charging plan includes a charging start time, a charging duration, and a charging power.

[0016] This application also discloses a system for automatic charging based on user habits, including:

[0017] The acquisition unit is used to acquire real-time vehicle information.

[0018] The planning unit is used to generate a charging plan based on real-time vehicle information and a preset database.

[0019] The charging unit is used for automatic charging according to the charging plan.

[0020] Preferably, the charging unit is a vehicle management system or a smart charging device.

[0021] This application also discloses an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the automatic charging method based on user habits described above.

[0022] This application also discloses a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps of the method for automatic charging based on user habits as described above.

[0023] Compared with the prior art, the present invention has the following beneficial effects:

[0024] This invention creates a database based on car owners' usage habits, predicts charging needs using the database and real-time vehicle information, formulates charging plans, and enables automatic charging. This method improves charging efficiency, facilitates car owners' needs, and reduces charging costs and energy waste. It also helps reduce charging-related damage to the battery. The method automatically adjusts charging speed and amount based on battery status and charging needs, avoiding overcharging or over-discharging to prevent damage and extend battery life. It also helps alleviate range anxiety. Because the charging process is more convenient, car owners no longer need to worry about running out of power, thus improving the user experience of new energy vehicles. Attached Figure Description

[0025] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present invention and should not be regarded as a limitation on the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0026] Figure 1 This is a flowchart of the method of the present invention;

[0027] Figure 2 This is a flowchart of a method according to an embodiment of the present invention. Detailed Implementation

[0028] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. The components of the embodiments of the present invention described and shown in the accompanying drawings can generally be arranged and designed in various different configurations.

[0029] Therefore, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely to illustrate selected embodiments of the invention. All other embodiments obtained by those skilled in the art based on the embodiments of the invention without inventive effort are within the scope of protection of the invention.

[0030] It should be noted that similar labels and letters in the following figures indicate similar items. Therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures.

[0031] In the description of the embodiments of the present invention, it should be noted that if terms such as "upper," "lower," "horizontal," or "inner" indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings, or the orientation or positional relationship commonly used when the product of the invention is in use, 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 orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of the present invention. Furthermore, terms such as "first" and "second" are only used to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0032] Furthermore, the use of the term "horizontal" does not imply that the component must be absolutely horizontal, but rather that it can be slightly tilted. For example, "horizontal" simply means that its direction is more horizontal than "vertical," and does not mean that the structure must be completely horizontal, but can be slightly tilted.

[0033] In the description of the embodiments of the present invention, it should also be noted that, unless otherwise explicitly specified and limited, the terms "set," "install," "connect," and "link" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in the present invention according to the specific circumstances.

[0034] The present invention will now be described in further detail with reference to the accompanying drawings:

[0035] See Figure 1 This application discloses a method for automatic charging based on user habits, including:

[0036] S1: Obtain real-time vehicle information;

[0037] S2: Generate a charging plan based on real-time vehicle information and a database formed based on user habits;

[0038] S3: Automatically charges according to the charging plan and provides feedback on the charging status.

[0039] This invention creates a database based on car owners' usage habits, predicts charging needs using the database and real-time vehicle information, formulates charging plans, and enables automatic charging. This method improves charging efficiency, facilitates car owners' needs, and reduces charging costs and energy waste. It also helps reduce charging-related damage to the battery. The method automatically adjusts charging speed and amount based on battery status and charging needs, avoiding overcharging or over-discharging to prevent damage and extend battery life. It also helps alleviate range anxiety. Because the charging process is more convenient, car owners no longer need to worry about running out of power, thus improving the user experience of new energy vehicles.

[0040] In some embodiments, the real-time vehicle information includes: remaining battery charge, charging rate, and remaining driving range. Remaining battery charge (SOC) represents the ratio of the battery's current stored capacity to its total capacity, typically expressed as a percentage. It directly affects the driving range and charging needs of new energy vehicles. Generally, when the remaining battery charge is low, the vehicle needs to be charged as soon as possible to ensure continued driving.

[0041] The charging rate determines the time it takes for a battery to go from low to full charge. The faster the charging rate, the more electricity the vehicle gains in a short time, allowing it to regain its driving ability more quickly. Different charging facilities (such as home charging stations and public charging stations) and charging methods (such as fast charging and slow charging) will affect the charging rate.

[0042] The remaining driving range is estimated based on the current remaining battery power and vehicle energy consumption. It tells the driver how far the vehicle can travel in the current state. This value changes in real time depending on driving habits, road conditions, vehicle load, and battery status. Therefore, drivers need to constantly monitor the remaining driving range to plan charging and driving routes accordingly.

[0043] In some embodiments, generating a charging plan based on real-time vehicle information and a database formed based on user habits specifically includes:

[0044] Determine charging windows, trip requirements, and charging needs based on real-time vehicle information and vehicle usage data in the database;

[0045] A charging plan is generated based on the charging window, travel needs, and charging requirements.

[0046] In some embodiments, the vehicle usage data includes: daily driving records, regular charging time, driving distance, commuting routes, commuting time, and charging frequency.

[0047] In some embodiments, during the charging process, the charging plan is adjusted based on charging demand and grid load using real-time data provided by the feedback charging status.

[0048] In some embodiments, the charging plan includes a charging start time, a charging duration, and a charging power.

[0049] This application also discloses a system for automatic charging based on user habits, including:

[0050] The acquisition unit is used to acquire real-time vehicle information.

[0051] The planning unit is used to generate a charging plan based on real-time vehicle information and a preset database.

[0052] The charging unit is used for automatic charging according to the charging plan.

[0053] In some embodiments, the charging unit is a vehicle management system or a smart charging device.

[0054]

Example

[0055] The algorithm for automatically charging based on car owners' usage habits requires collecting and analyzing vehicle usage data to predict charging demand, formulate charging plans, and ultimately achieve automatic charging. By analyzing car owners' usage data and combining it with daily driving patterns, frequent charging times, commuting routes, onboard sensors, and an app, we can develop a suitable charging schedule for each owner. See also... Figure 2 The steps are as follows:

[0056] 1. Data collection and storage: First, it is necessary to collect the vehicle owner's usage data, including daily driving records, regular charging time, driving distance, commuting routes, etc., and store the data in the database for subsequent analysis.

[0057] 2. Commuting Route Analysis: Based on the car owner's commuting route and driving time, the daily commuting time and vehicle arrival time at the destination are analyzed. This helps determine charging windows and trip demand.

[0058] 3. Charging Demand Assessment: Based on the owner's driving distance, usage time, and charging frequency, assess the owner's charging needs. Based on these factors, determine whether and when the vehicle needs to be charged.

[0059] 4. Charging Window Identification: By analyzing the owner's usual charging time periods, suitable charging time windows are identified. This can be determined based on the owner's driving habits and commuting time to ensure that the charging process has minimal impact on the owner's use of the vehicle.

[0060] 5. Utilization of vehicle sensor and APP data: Use vehicle sensors and APP to obtain real-time vehicle information, such as remaining battery power, charging rate, and remaining driving range, and combine this with the charging demand and charging window analyzed above to formulate a charging plan.

[0061] 6. Charging Schedule Generation: Based on the above analysis, a suitable charging schedule for the vehicle owner is generated. This schedule should include specific parameters such as charging start time, charging duration, and charging power to meet the charging needs of the vehicle owner.

[0062] 7. Charging Control Strategy: Based on the owner's charging schedule, the system controls the charging equipment (such as charging stations) to provide the vehicle with an appropriate amount of electrical energy. During the charging process, based on real-time data from onboard sensors and the app, the system adjusts the charging power and time according to factors such as charging demand and grid load to optimize charging efficiency and energy utilization.

[0063] 8. Automatic Charging Control: Through the vehicle management system or intelligent charging equipment, the charging plan is translated into actual charging control commands to achieve automatic charging. The transmission and execution of commands can be achieved using communication protocols between the vehicle and the charging equipment, such as OCPP (Open Charge Point Protocol).

[0064] Furthermore, the formulation of charging schedules should also take into account factors such as the stability of the power grid and the availability of charging equipment, and should be coordinated with the management system of the charging equipment.

[0065] This application utilizes sensors in the vehicle and smart mobile devices to collect user driving data and vehicle operating status data in real time. The system establishes a usage habit model based on the driver's driving behavior and habits. The collected data is categorized, stored, and managed. Machine learning and artificial intelligence algorithms are used to analyze and process the data. Based on the analysis results, fault warnings are provided to proactively avoid potential problems, thus improving the safety performance of vehicle charging.

[0066] This application also discloses an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the automatic charging method based on user habits described above.

[0067] This application also discloses a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps of the method for automatic charging based on user habits as described above.

[0068] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied 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.

[0069] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0070] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0071] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0072] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A method for automatic charging based on user habits, characterized in that, include: Get real-time vehicle information; The real-time vehicle information includes: remaining battery power, charging rate, and remaining driving range; Based on real-time vehicle information and a database formed according to user habits, a charging plan is generated; specifically including: The charging window, trip demand, and charging demand are determined based on real-time vehicle information and vehicle usage data in the database; the vehicle usage data includes: daily driving records, regular charging time, driving distance, commuting route, commuting time, and charging frequency; A charging plan is generated based on the charging window, travel demand, and charging requirements; the charging plan includes the charging start time, charging duration, and charging power. It automatically charges according to the charging plan and provides feedback on the charging status.

2. The method for automatic charging based on user habits according to claim 1, characterized in that, During the charging process, the charging plan is adjusted based on real-time data provided by the feedback charging status, according to charging demand and grid load.

3. A system for automatic charging based on user habits, characterized in that, For implementing the user-habit-based automatic charging method as described in claim 1 or 2, the system comprises: The acquisition unit is used to acquire real-time vehicle information. The planning unit is used to generate a charging plan based on real-time vehicle information and a preset database. The charging unit is used for automatic charging according to the charging plan.

4. The automatic charging system based on user habits according to claim 3, characterized in that, The charging unit is a vehicle management system or an intelligent charging device.

5. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor, when executing the computer program, implements the steps of the automatic charging method based on user habits as described in any one of claims 1-2.

6. A computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps of the automatic charging method based on user habits as described in any one of claims 1-2.

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