Charging prompting method and device for battery in vehicle, storage medium and vehicle

Abstract

The invention discloses a charging prompting method and device for a battery in a vehicle, a storage medium and the vehicle. The method comprises the steps that in the process that a target driving object controls the vehicle to run, running information of the vehicle and battery information of a battery in the vehicle are obtained; based on the battery information, segmenting a charging segment of the battery, and merging the driving information into the segmented charging segment to obtain target driving data; based on the target driving data, charging preference information of the target driving object is determined, and the charging preference information is used for representing the preference degree of the target driving object on the charging opportunity of the battery; based on the charging preference information, determining a target electric quantity of the battery, the target electric quantity being used for representing a charging opportunity satisfying the preference of the target driving object; and generating charging prompt information of the battery in response to the actual electric quantity of the battery reaching the target electric quantity. The technical problem that the charging prompt accuracy of the battery in the vehicle is low is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of vehicles, and in particular to a charging prompt method, a device, a storage medium and a vehicle for a battery in a vehicle. Background Art

[0002] At present, the low battery reminder of the vehicle is usually based on a fixed value to determine whether the vehicle needs to be recharged. This method cannot meet the personalized needs and behavioral habits of different car owners. By analyzing historical data and monitoring real-time data, the owner's recharge time can be predicted more accurately, thereby improving the owner's driving and charging experience and achieving personalized customization. By analyzing the vehicle's historical data and real-time data, the owner's driving habits, charging habits and daily driving patterns can be understood.

[0003] Based on the above data, the owner's energy replenishment timing can be predicted, and certain calibration values ​​of the in-car functions can be adjusted according to the owner's behavioral portrait. For example, for some car owners who prefer to replenish energy when the battery is low, charging reminders can be issued in advance; for some car owners who prefer to replenish energy when the battery is almost exhausted, the charging reminder can be delayed to meet the personalized needs of different car owners. However, the above charging reminder can only roughly estimate the charging timing, and cannot accurately determine the charging timing. Therefore, there is still a technical problem of low accuracy of charging reminders for batteries in vehicles.

[0004] With respect to the technical problem of low accuracy of charging reminders for batteries in the above-mentioned vehicles, no effective solution has been proposed so far. Summary of the invention

[0005] Embodiments of the present invention provide a method, device, storage medium and vehicle for providing a charging reminder for a battery in a vehicle, so as to at least solve the technical problem of low accuracy of providing a charging reminder for a battery in a vehicle.

[0006] According to one aspect of an embodiment of the present invention, a charging reminder method for a battery in a vehicle is provided. The method may include: in the process of a target driving object controlling the driving of the vehicle, obtaining the driving information of the vehicle and the battery information of the battery in the vehicle, wherein the battery information is used to indicate the power state and / or charging state of the battery; based on the battery information, dividing the charging segment of the battery, and merging the driving information into the divided charging segment to obtain the target driving data, wherein the charging segment is a time period composed of the corresponding charging start time to the corresponding charging end time; based on the target driving data, determining the charging preference information of the target driving object, wherein the charging preference information is used to indicate the degree of preference of the target driving object for the charging timing of the battery; based on the charging preference information, determining the target power of the battery, wherein the target power is used to indicate the charging timing that satisfies the preference of the target driving object; in response to the actual power of the battery reaching the target power, generating the charging reminder information of the battery.

[0007] Optionally, based on the charging preference information, determining the target power of the battery includes: obtaining the charging preference information corresponding to the target number of charging segments, and the battery information corresponding to the target number of charging start times; determining the target power based on the charging preference information of the target number and the battery information of the target number.

[0008] Optionally, based on the target quantity of charging preference information and the target quantity of battery information, the target power is determined, including: obtaining the average charging preference information of the target quantity of charging preference information, and obtaining the average battery information of the target quantity of battery information; and determining the quotient between the average battery information and the average charging preference information as the target power.

[0009] Optionally, the battery information includes charging status information, wherein the charging segments of the battery are divided based on the battery information, including: determining the moment corresponding to the time when the charging status information jumps from an idle state to a running state as the charging start time; determining the moment corresponding to the time when the charging status information jumps from a running state to an idle state as the charging end time; and determining the time period composed of the same charging start time and charging end time as a charging segment.

[0010] Optionally, the driving information includes the cumulative mileage and the remaining mileage, and the target driving data includes the target cumulative mileage and the target remaining mileage, wherein the driving information is merged into the divided charging segments to obtain the target driving data, including: merging the cumulative mileage into the divided charging segments to obtain the target cumulative mileage corresponding to the start time of charging, and the target cumulative mileage corresponding to the end time of charging; merging the remaining mileage into the divided charging segments to obtain the target remaining mileage at the start time of charging, and the target remaining mileage corresponding to the end time of charging.

[0011] Optionally, based on the target driving data, the charging preference information of the target driving object is determined, including: obtaining a first difference between the target cumulative cruising range at the start time of charging of the charging segment and the target cumulative cruising range at the end time of charging of the previous charging segment; obtaining a second difference between the target remaining mileage at the end time of charging of the charging segment and the target remaining mileage at the start time of charging of the charging segment; and determining the charging preference information based on the first difference and the second difference.

[0012] Optionally, determining the charging preference information based on the first difference and the second difference includes: determining a quotient between the first difference and the second difference as the charging preference information.

[0013] Optionally, the driving information includes the vehicle's location information, and the charging prompt information includes navigation prompt information, wherein the navigation prompt information is used to indicate whether the vehicle has traveled to a target charging device to charge the battery, wherein in response to the actual power of the battery reaching a target power, navigation prompt information of the battery is generated, including: obtaining road information and charging device information of the road on which the vehicle is located; in response to the actual power reaching the target power, determining the target charging device based on the road information, charging device information and location information, wherein the target charging device is a charging device whose distance to the vehicle is less than or equal to a distance threshold; and generating navigation prompt information based on the charging device information of the target charging device.

[0014] According to another aspect of an embodiment of the present invention, a charging reminder device for a battery in a vehicle is also provided. The device may include: an acquisition unit, used to acquire the driving information of the vehicle and the battery information of the battery in the vehicle during the process of the target driving object controlling the driving of the vehicle, wherein the battery information is used to indicate the power state and / or charging state of the battery; a merging unit, used to segment the charging segments of the battery based on the battery information, and merge the driving information into the segmented charging segments to obtain target driving data, wherein the charging segment is a time period composed of a corresponding charging start time to a corresponding charging end time; a first determination unit, used to determine the charging preference information of the target driving object based on the target driving data, wherein the charging preference information is used to indicate the degree of preference of the target driving object for the charging timing of the battery; a second determination unit, used to determine the target power of the battery based on the charging preference information, wherein the target power is used to indicate the charging timing that satisfies the preference of the target driving object; a generation unit, used to generate charging reminder information of the battery in response to the actual power of the battery reaching the target power.

[0015] According to another aspect of an embodiment of the present invention, a computer-readable storage medium is also provided. The computer-readable storage medium includes a stored program, wherein when the program is executed, the device where the computer-readable storage medium is located is controlled to execute the charging reminder method for the battery in the vehicle of the embodiment of the present invention.

[0016] According to another aspect of an embodiment of the present invention, a processor is provided, which is used to run a program, wherein the method for reminding a battery in a vehicle of a charging condition of the present invention is executed when the program is run.

[0017] According to another aspect of an embodiment of the present invention, a computer program product is provided, which includes a computer program, and when the computer program is executed by a processor, the battery charging reminder method in a vehicle according to the embodiment of the present application is implemented.

[0018] In an embodiment of the present invention, during the process of the target driving object of the vehicle controlling the driving of the vehicle, the driving information of the vehicle can be collected, and the power state and / or charging state of the battery in the vehicle can be detected to obtain corresponding battery information. The charging segment of the battery can be segmented according to the battery information, and the driving information can be merged into the segmented charging segment to obtain the target driving data. According to the target driving data, the target driving object's preference for the charging time of the battery can be analyzed to obtain corresponding charging preference information. According to the charging preference information, the target power that meets the preferences of the target driving object is determined. If the actual power of the battery reaches the target power during the driving of the vehicle, the charging prompt information of the battery can be generated. In this embodiment, by collecting and analyzing the driving information and battery information of the vehicle, combined with the target driving object's preference for the battery charging time, a more intelligent and personalized charging prompt service can be achieved. By evaluating the charging time preference of the driving object, the system can understand its charging habits and behavior patterns, and provide a reference basis for subsequent charging prompts. The above method can better help the driver to reasonably plan the charging itinerary, improve the charging efficiency, reduce the troubles and inconveniences caused by insufficient power, and improve the driving experience and vehicle convenience. Through intelligent charging reminders and analysis, the system can achieve more intelligent and personalized charging management based on the driver's behavioral preferences and vehicle status, providing a more convenient and intelligent experience for the use of electric vehicles. This achieves the technical effect of improving the accuracy of charging reminders for batteries in vehicles and solves the technical problem of low accuracy of charging reminders for batteries in vehicles. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of this application. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0020] Figure 1 is a flow chart of a method for providing a battery charging reminder in a vehicle according to an embodiment of the present invention;

[0021] Figure 2 is a flow chart of a method for pushing charging reminders based on driver personality factors according to an embodiment of the present invention;

[0022] Figure 3 The figure is a schematic diagram of a battery charging reminder device in a vehicle according to an embodiment of the present invention. DETAILED DESCRIPTION

[0023] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are 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 should fall within the scope of protection of the present invention.

[0024] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0025] According to an embodiment of the present invention, an embodiment of a method for charging reminder of a battery in a vehicle is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0026] Figure 1 is a flow chart of a method for reminding a battery to charge in a vehicle according to an embodiment of the present invention. Figure 1 As shown, the method may include the following steps:

[0027] Step S102, while the target driving object is controlling the driving of the vehicle, the driving information of the vehicle and the battery information of the battery in the vehicle are obtained.

[0028] In the technical solution provided in the above step S102 of the present invention, the vehicle may be a new energy vehicle, for example, an electric car. The target driving object may be the driver in the vehicle, for example, the owner of the vehicle. Driving information may also be referred to as driving data, which may be used to better understand the status and location information of the vehicle, for example, it may include the accumulated mileage, the remaining mileage, the longitude of the vehicle's location, and the latitude of the location. It should be noted that the above driving information is only for illustration and is not specifically limited here. As long as it is driving information that can be used to determine the timing of charging the battery in the vehicle, it is within the protection scope of the embodiments of the present invention.

[0029] Optionally, the cumulative mileage refers to the total mileage that the vehicle has traveled since it rolled off the production line, usually expressed in kilometers (km). This data can reflect the frequency of use and historical driving conditions of the vehicle, and help evaluate the degree of wear, maintenance cycle and usage of the vehicle. The remaining drive distance indicates the predicted range that the car can still travel before the battery power is exhausted, usually in kilometers (km). This data is predicted based on the current battery power and the average energy consumption of the vehicle, helping the driver to understand the current endurance of the vehicle and avoid the situation where it cannot be driven due to insufficient power. The remaining drive distance is an important reference for the driver to make itinerary planning and charging decisions, and can help the driver to reasonably arrange the driving route and charging plan. The longitude and latitude of the location are the geographic coordinate information of the current location of the vehicle, which respectively represent the longitude and latitude of the vehicle's location, and can be used for real-time positioning and route tracking, helping the navigation system to accurately locate the vehicle's location and provide real-time navigation guidance. By recording the vehicle's location information, real-time monitoring and management of the vehicle can be achieved, and it can also help drivers find nearby service facilities such as gas stations, charging stations, etc.

[0030] Optionally, the battery information may be used to indicate the power state and / or charging state of the battery, and may include charging data and power information, wherein the charging data corresponds to the charging state, and the power information corresponds to the power state.

[0031] Optionally, the charging data can record the current charging status and charging method of the vehicle, which can help monitor and manage the charging status of the vehicle. The charging status indicates the current charging status of the car, which usually includes two states: idle and charging. Among them, the idle state can mean that the vehicle is not currently charging, that is, the charging socket is in an idle state, and the vehicle is not connected to the charging device. The charging state can mean that the vehicle is currently charging, the charging socket is connected to the charging device, and the vehicle is receiving electrical energy. By recording the charging status, the charging status of the vehicle can be monitored in real time, helping the driver to understand whether the vehicle is charging, and to perform charging operations in time when necessary. This can ensure that the vehicle is fully charged and improve the convenience and safety of driving.

[0032] Optionally, the Charge State can indicate the current charging mode of the vehicle, which usually includes AC charging and DC charging. AC charging means that the vehicle is charged using an AC power source, which is generally applicable to home charging piles or public AC charging piles. DC charging means that the vehicle is charged using a DC power source, which is generally applicable to fast charging stations or DC charging piles, which can charge faster. Recording the charging mode can help the driver understand the current charging mode of the vehicle and choose the appropriate charging mode to charge to meet the charging needs in different scenarios. At the same time, monitoring the charging mode can also help optimize the charging efficiency and improve the charging speed and effect.

[0033] In summary, by recording the charging status and charging method, the charging status of the vehicle can be monitored in real time, helping the driver to understand the charging status and method of the vehicle in a timely manner so as to perform reasonable charging operations. These data are of great significance to vehicle management and charging efficiency, and can improve the convenience and efficiency of charging, thereby enhancing the user experience of electric vehicles.

[0034] Optionally, the instrument state of charge (SOC) in the power information refers to the current battery power of the car, usually expressed in percentage (%). This parameter is very important for electric vehicles because it reflects the current charging state of the battery, that is, how much power is left in the battery for the vehicle to use. Instrument SOC (ISOC) is an integer data that represents the percentage of the battery power of the car, that is, ISOC can also be the actual power of the battery. For example, if the value of the instrument SOC is 80%, it means that the battery currently still has 80% of its power available for use. The value range of the instrument SOC is usually between 0% and 100%, 0% means that the battery is exhausted, and 100% means that the battery is fully charged. Instrument SOC is an important indicator for the driver to understand the vehicle's power status, which can help the driver determine whether the vehicle needs to be charged and when to perform the charging operation. Real-time monitoring and recording of instrument SOC can help drivers plan charging trips reasonably to avoid driving safety and convenience due to insufficient power.

[0035] Optionally, by recording the instrument SOC data, the vehicle system can monitor the changes in battery power in real time and promptly remind the driver to charge the battery to ensure that the vehicle always has sufficient power. This can improve the driver's understanding of the charging status of the electric vehicle and also increase the driver's convenience and comfort in using the vehicle.

[0036] In this embodiment, while the target driving object is controlling the driving of the vehicle, the driving data and battery information of the vehicle may be collected.

[0037] Optionally, the driving information and battery information of the vehicle are obtained. The driving information may include the cumulative mileage, the remaining mileage, and the longitude and latitude of the location. The cumulative mileage represents the total mileage of the vehicle since it was offline, which can be used to evaluate the frequency and status of the vehicle and help maintain the vehicle. The remaining mileage predicts the mileage that the vehicle can still travel before the battery is exhausted, which is used to help the driver plan the trip reasonably and avoid insufficient power. The longitude and latitude of the location, the geographic coordinate information of the current location of the vehicle, can be used for real-time positioning and route tracking, helping the navigation system to accurately locate the vehicle and plan a suitable driving route. The battery information may include power information and charging data. The power information may include the instrument SOC, which indicates the current charging state of the battery, expressed in percentage, and is an important indicator for the driver to understand the power status. The charging data records the current charging state and charging method of the vehicle, which can help monitor and manage the charging status of the vehicle and improve charging efficiency and convenience.

[0038] Optionally, by obtaining this driving information and battery information, the driver can understand the real-time status of the vehicle, make itinerary planning and charging decisions. At the same time, by real-time monitoring and recording this information, the vehicle system can promptly remind the driver to perform charging operations, ensuring that the vehicle always maintains sufficient power and improving the convenience and comfort of using the vehicle. These data are of great significance to the management and charging efficiency of electric vehicles, and can improve the use experience and safety of the vehicle.

[0039] Step S104, based on the battery information, the battery charging segments are segmented, and the driving information is merged into the segmented charging segments to obtain target driving data.

[0040] In the technical solution provided in the above step S104 of the present invention, the charging segment can be a time period consisting of the corresponding charging start time to the corresponding charging end time. The target driving data can also be called a new data field, which can be used to record relevant information in the nth charging segment in the vehicle's history, for example, it can include the cumulative mileage at the start time and end time of charging and the remaining cruising range. It should be noted that the above target driving data is only for illustration and is not specifically limited here. By analyzing and calculating the target driving data, the charging behavior of the vehicle and the charging habits of the driver can be better understood, and more scientific and reasonable charging suggestions can be provided to the driver. At the same time, it also helps to optimize the vehicle's cruising range performance and charging efficiency, and enhance the user experience and convenience of electric vehicles.

[0041] In this embodiment, after obtaining the driving information of the vehicle and the battery information of the battery, the charging segments of the battery can be segmented based on the battery information, and the driving information can be merged into the segmented charging segments to obtain the target driving data.

[0042] Optionally, the battery charging segments are segmented based on the battery information. A charging segment can be defined as the time period from the start time of charging to the end time of charging. Such segmentation can help to refine the charging behavior of the vehicle into multiple segments, and analyze and monitor the charging situation more accurately. Each charging segment contains the time information of the start time and the end time of charging, as well as battery information such as the charging status and charging method during this period.

[0043] Optionally, the driving information is merged into the segmented charging segments to obtain the target driving data. This means that the driving information of the vehicle is matched with the charging segments, and the driving conditions in each charging segment can be recorded, such as the cumulative mileage at the start and end of charging and the remaining mileage. Such a merging operation can help associate charging behavior with driving behavior, providing more detailed and comprehensive data support for subsequent analysis and optimization.

[0044] In the embodiment of the present invention, by analyzing and calculating the target driving data, the charging behavior of the vehicle and the charging habits of the driver can be better understood, and more scientific and reasonable charging suggestions can be provided to the driver. At the same time, by optimizing the vehicle's endurance performance and charging efficiency, the user experience and convenience of the electric vehicle can be improved. The above detailed analysis and operation are helpful to achieve the overall management and optimization of the vehicle's charging and driving behavior, and improve the performance and reliability of the electric vehicle.

[0045] Step S106: Determine the charging preference information of the target driving object based on the target driving data.

[0046] In the technical solution of step S106 of the present invention, the charging preference information can be used to indicate the target driver's preference for the timing of battery charging, which can be a personality factor for the driver to judge the timing of charging, and can also be called a derived field.

[0047] In this embodiment, the battery charging segments are segmented based on the battery information, and the driving information is merged into the segmented charging segments to obtain the target driving data. Then, the charging preference information of the target driving object can be determined based on the target driving data, that is, the derived field can be calculated based on the defined new data field.

[0048] Optionally, it is very important to determine the charging preference information of the target driving object based on the target driving data. This step aims to understand the target driving object's preference for charging the battery by analyzing the target driving data, that is, under what circumstances the target driving object is more inclined to charge, and under what circumstances the target driving object is more inclined to delay charging. By determining the charging preference information of the target driving object, the following goals can be achieved: personalized charging suggestions, that is, according to the charging preference information of the target driving object, personalized charging suggestions can be provided for it, such as suggesting charging when a certain percentage of battery power remains, or providing a suitable charging plan according to the driving route and destination. Charging behavior analysis, that is, by analyzing the charging preference information of the target driving object, its charging habits and behavior patterns can be understood, helping to optimize the charging strategy, and improving charging efficiency and convenience. Improve user experience, that is, according to the charging preference information of the target driving object, it can help it better manage the battery life and charging of electric vehicles, and improve user experience and convenience.

[0049] In an embodiment of the present invention, in order to determine the charging preference information of the target driving object, the charging timing, charging frequency, charging duration and other aspects of the data can be analyzed based on the charging segments, driving information and battery information in the target driving data, so as to infer the charging preference of the target driving object. Such analysis helps to personalize charging management and improve the efficiency and comfort of electric vehicles. In summary, the above method aims to determine the charging preference information of the target driving object through the target driving data, so as to provide the driver with personalized charging suggestions, optimize the charging strategy, and improve the user experience and convenience of electric vehicles.

[0050] Step S108: determining a target power level of the battery based on the charging preference information.

[0051] In the technical solution provided in the above step S108 of the present invention, the target power can be used to indicate a charging timing that satisfies the preference of the target driving object, and can be a timing for initiating a charging reminder.

[0052] In this embodiment, after the charging preference information of the target driving object is determined based on the target driving data, the target power of the battery may be determined based on the charging preference information.

[0053] Optionally, based on the charging preference information, the target power of the battery is determined to meet the charging preference of the target driver, that is, to determine a suitable charging time to improve the driver's charging experience and the use efficiency of the electric vehicle.

[0054] Optionally, the charging preference information of the determined target driving object, including the preference for charging timing, the preference for charging frequency, etc., is analyzed in detail. Understanding the charging preference of the target driving object will help determine the charging strategy that best suits the driver. Based on the charging preference information, determining the target power of the battery refers to determining the appropriate charging state that the vehicle battery should reach. This target power can be determined based on the driver's charging preference and driving needs to meet their preferences for charging timing and driving needs. Determining the target power of the battery can also be used to determine the timing of initiating a charging reminder, that is, when the battery power is close to the target power, a charging reminder is issued to the driver to remind him to perform a charging operation. This can help the driver better manage the charging state of the battery and avoid driving safety and convenience due to insufficient power. By determining the target power of the battery based on the charging preference information, more intelligent charging management can be achieved, charging efficiency can be improved, and battery life can be extended, while also improving the driver's charging experience and the convenience of using electric vehicles.

[0055] In summary, the above method aims to determine the target power of the battery based on the driver's charging preference information, provide an opportunity for initiating a charging reminder, so as to improve the intelligence of charging management, optimize the charging strategy, and enhance the user experience and efficiency of electric vehicles.

[0056] In an embodiment of the present invention, the target power of the battery is determined based on the charging preference information, so as to determine the appropriate charging time to improve the driver's charging experience and the use efficiency of the electric vehicle. By accurately determining the target power to initiate a charging reminder, the driver can be helped to charge in time when the battery power is close to the target power, avoiding the situation where the battery cannot be driven due to insufficient power. This can ensure that the vehicle always maintains sufficient power and improve the convenience and safety of driving. Accurately determining the timing of the charging reminder can avoid charging too early or too late, effectively utilize the charging equipment and charging time, and improve the charging efficiency. This can save charging time and cost, while extending the battery life and improving the service life and economy of the electric vehicle. According to the driver's charging preference information and driving needs, the target power is accurately determined to initiate a charging reminder to achieve personalized charging management. In this way, customized charging suggestions can be provided according to the habits and needs of different drivers, improving user experience and meeting user needs. Accurately determining the timing of the charging reminder can help the driver better manage the charging status of the battery, avoid affecting the driving plan due to insufficient power, and improve the driver's trust and comfort in the electric vehicle. This can improve the user experience and increase the user's favorability towards the electric vehicle.

[0057] In summary, by accurately determining when to initiate a charging reminder, appropriate charging management can be achieved, charging efficiency can be improved, battery life can be extended, charging management can be personalized, user experience can be improved, and the convenience of using electric vehicles can be improved. This intelligent charging management method will provide drivers with a more convenient, efficient and comfortable charging experience, and promote the popularization and development of electric vehicles.

[0058] Step S110 , in response to the actual power level of the battery reaching the target power level, generating battery charging reminder information.

[0059] In the technical solution provided in the above step S110 of the present invention, the actual power can be the ISOC of the vehicle. The charging reminder information may include power reminder information and navigation reminder. The power reminder information can be used to prompt that the current power is low and charging is required. The navigation reminder can be used to indicate that you can navigate to a nearby charging device to charge the battery. It should be noted that the above charging reminder information is only for example and is not specifically limited here.

[0060] In this embodiment, when the actual power level of the battery reaches the target power level, a battery charging reminder message may be generated.

[0061] Optionally, when the actual power of the battery reaches the target power, the system will generate a battery charging reminder message. This step is intended to remind the driver to charge in time to ensure the vehicle's endurance and improve vehicle convenience and safety.

[0062] Optionally, the actual power usually refers to the ISOC of the vehicle battery, that is, the current power percentage of the battery. The target power is the target power of the battery determined according to the above method, which indicates the appropriate charging state that the vehicle should reach. When the actual power of the battery reaches the target power, a battery charging prompt information can be generated. These prompt information may include power prompt information and navigation reminders: The power prompt information is used to remind the driver that the current power is low and needs to be charged. Such reminders can help the driver detect low power in time to avoid being unable to drive due to exhaustion. It is also possible to navigate to a nearby charging device to charge the battery. Such reminders can help the driver find the nearest charging device to facilitate charging operations.

[0063] Optionally, by generating charging reminder information when the actual battery power reaches the target power, it can help the driver to reasonably arrange the charging time and place and improve the charging efficiency. This can avoid affecting the driving plan due to insufficient power and improve the convenience and efficiency of car use. Generating battery charging reminder information can remind the driver to charge in time to ensure smooth driving. This can improve the user experience and increase the user's trust and comfort in electric vehicles.

[0064] In summary, the above method aims to generate a battery charging reminder message when the actual battery power reaches the target power, reminding the driver to perform charging operations in time to optimize charging management, improve charging efficiency and vehicle convenience, and enhance user experience and convenience of electric vehicles.

[0065] In the above steps S102 to S110 of the present application, during the process of the target driving object of the vehicle controlling the driving of the vehicle, the driving information of the vehicle can be collected, and the power state and / or charging state of the battery in the vehicle can be detected to obtain the corresponding battery information. The charging segment of the battery can be segmented according to the battery information, and the driving information can be merged into the segmented charging segment to obtain the target driving data. According to the target driving data, the target driving object's preference for the charging time of the battery can be analyzed to obtain the corresponding charging preference information. According to the charging preference information, the target power that meets the preferences of the target driving object is determined. If the actual power of the battery reaches the target power during the driving process of the vehicle, the charging prompt information of the battery can be generated. In this embodiment, by collecting and analyzing the driving information and battery information of the vehicle, combined with the target driving object's preference for the battery charging time, a more intelligent and personalized charging prompt service can be achieved. By evaluating the charging time preference of the driving object, the system can understand its charging habits and behavior patterns, and provide a reference for subsequent charging prompts. The above method can better help drivers to reasonably plan charging trips, improve charging efficiency, reduce the troubles and inconveniences caused by insufficient power, and improve driving experience and vehicle convenience. Through intelligent charging prompts and analysis, the system can achieve more intelligent and personalized charging management based on the driver's behavioral preferences and vehicle status, providing a more convenient and intelligent experience for the use of electric vehicles. Thereby achieving the technical effect of improving the accuracy of charging prompts for batteries in vehicles and solving the technical problem of low accuracy of charging prompts for batteries in vehicles.

[0066] The above method of this embodiment is further introduced below.

[0067] As an optional implementation method, step S108, based on the charging preference information, determines the target power of the battery, including: obtaining the charging preference information corresponding to the target number of charging segments, and the battery information corresponding to the target number of charging start times; based on the charging preference information of the target number and the battery information of the target number, determines the target power.

[0068] In this embodiment, in the process of determining the target power of the battery based on the charging preference information, the charging preference information corresponding to the target number of charging segments and the battery information corresponding to the target number of charging start times can be obtained. The target power can be determined based on the charging preference information of the target number and the battery information of the target number. The target number can be a preset numerical value or a numerical value set according to actual conditions. For example, it can be preset to 50. It should be noted that the above-mentioned setting method and numerical value of the target number are only for example illustration and are not specifically limited here.

[0069] Optionally, if the target power needs to be determined, battery information of a target number of charging segments in a recent period of time and a target number of charging preference information may be collected to calculate the target power.

[0070] Optionally, a target number of charging segments is obtained, each charging segment corresponds to a charging behavior within a period of time. For each charging segment, the system collects and records the corresponding charging preference information, including preferences for charging timing, charging frequency, and so on. This information can help the system understand the driver's charging habits and preferences. It is also possible to obtain the battery information corresponding to the start time of the target number of charging segments, that is, to record the battery power at the start time of each charging segment, such as ISOC. This battery information can be used to determine the power state at the start time of the charging segment, providing data support for the subsequent calculation of the target power. Based on the target number of charging preference information and battery information, each charging segment is analyzed and calculated to determine the target power. By comprehensively considering the charging preference information and battery information, the target power of each charging segment can be calculated, that is, the power level required to be achieved at the start time of each charging segment.

[0071] Optionally, if the target power needs to be determined, the battery information and charging preference information of the target number of charging segments in the recent period can be collected. This can provide a more comprehensive understanding of the driver's charging behavior and preferences, thereby calculating a more accurate target power. Through the above method, the target power of the battery can be determined by obtaining the target number of charging segments and the corresponding charging preference information and battery information. Such refined operations can help the system more accurately formulate personalized charging strategies for the driver and improve the efficiency and intelligence of charging management.

[0072] As an optional implementation method, the target power is determined based on the charging preference information of the target quantity and the battery information of the target quantity, including: obtaining the average charging preference information of the target quantity and obtaining the average battery information of the target quantity; and determining the quotient between the average battery information and the average charging preference information as the target power.

[0073] In this embodiment, in the process of determining the target power based on the charging preference information and battery information of the target quantity, the average charging preference information of the target quantity and the average battery information of the target quantity can be obtained, and the quotient between the average battery information and the average charging preference information is determined as the target power.

[0074] Optionally, a target amount of charging preference information is obtained, including the charging preference information corresponding to each charging segment. The system then averages the charging preference information and calculates the average charging preference information. In this way, a comprehensive charging preference information can be obtained, reflecting the overall driver charging preference trend. A target amount of battery information can also be obtained, including the battery information corresponding to the start time of each charging segment, such as ISOC. The system then averages the battery information and calculates the average battery information. In this way, a comprehensive battery information can be obtained, reflecting the power status at the start time of the overall charging segment. The quotient between the average battery information and the average charging preference information is used as the target power. By calculating the quotient between the average battery information and the average charging preference information, the system obtains a comprehensive target power value. This value can reflect the comprehensive situation of the overall charging preference and battery status, thereby determining the appropriate target power.

[0075] Through the above method, the target power can be determined by obtaining the average value of the target quantity of charging preference information and battery information and comparing them with each other. This simplified method can help the system determine the target power more quickly and intuitively, providing drivers with more intelligent and convenient charging management services.

[0076] For example, you can obtain the charging preference information corresponding to the most recent 50 charging segments (Charging_personality (n) ), the average value of the above 50 charging preference information can be determined, that is, the average charging preference information (Charging_personality_avg), where Charging_personality_avg∈(0,1).

[0077] For another example, the battery information (Start_ISOC) of the charging start time corresponding to the most recent 50 charging segments can be obtained. (n) ), the average value of the above 50 battery information, that is, the average battery information (Start_ISOC_avg) can be determined, where Start_ISOC_avg∈(0,1).

[0078] As an optional example, the target power may be determined by the following formula:

[0079]

[0080] As an optional implementation method, the battery information includes charging status information, wherein step S104, based on the battery information, divides the battery charging segments, including: determining the moment corresponding to the moment when the charging status information jumps from the idle state to the running state as the charging start time; determining the moment corresponding to the moment when the charging status information jumps from the running state to the idle state as the charging end time; and determining the time period composed of the same charging start time and charging end time as a charging segment.

[0081] In this embodiment, in the process of dividing the battery charging segments based on the battery information, the moment corresponding to the charging status information jumping from the idle state to the running state can be determined as the charging start time. The moment corresponding to the charging status information jumping from the running state to the idle state can be determined as the charging end time. The time period composed of the same charging start time and charging end time can be determined as a charging segment, wherein the battery information can include the charging status information, which can also be called Charge Status signal data.

[0082] Optionally, the charging segments may be segmented according to the Charge Status signal data to identify the start and end times of charging and divide them into different charging segments.

[0083] Optionally, the Charge Status signal data is used as the segmentation condition. The Charge Status indicates the charging status of the vehicle, including two states: "idle" and "charging", that is, the idle state and the running state. According to the frequency of data upload, the Charge Status data can be obtained regularly and its changes can be monitored. If the Charge Status jumps from the "idle" state to the "charging" state, it means that the vehicle starts charging from the idle state; if the Charge Status jumps from the "charging" state to the "idle" state, it means that the vehicle charging is finished.

[0084] Optionally, when the Charge Status is detected to jump from "idle" to "charging", this moment can be recorded as the charging start moment. This moment indicates that the vehicle starts the charging operation. When the Charge Status is detected to jump from "charging" to "idle", this moment can be recorded as the charging end moment. This moment indicates that the vehicle completes the charging operation and the charging segment can be considered to be over.

[0085] Optionally, the time period from the start time of charging to the end time of the first charging is divided into a charging segment. This charging segment represents a complete charging process, including the entire process from the start of charging to the end of charging. By dividing the charging process into different segments, the system can better monitor and analyze the charging behavior of the vehicle, understand the start and end time of each charging, so as to track and manage the charging process.

[0086] In the embodiment of the present invention, through the above method, the charging segments can be accurately segmented according to the Charge Status signal data, the start and end time of charging can be identified, the charging behavior of the vehicle can be monitored and managed, and effective records and analysis can be provided for the charging process of the vehicle. This can improve the monitoring and management level of the vehicle charging behavior and ensure the accuracy and reliability of the charging process.

[0087] As an optional implementation method, the driving information includes the cumulative mileage and the remaining mileage, and the target driving data includes the target cumulative mileage and the target remaining mileage. In step S104, the driving information is merged into the divided charging segments to obtain the target driving data, including: merging the cumulative mileage into the divided charging segments to obtain the target cumulative mileage corresponding to the start time of charging, and the target cumulative mileage corresponding to the end time of charging; merging the remaining mileage into the divided charging segments to obtain the target remaining mileage at the start time of charging, and the target remaining mileage corresponding to the end time of charging.

[0088] In this embodiment, in the process of merging the driving information into the divided charging segments, the cumulative driving mileage can be merged into the divided charging segments to obtain the target cumulative driving mileage corresponding to the charging start time and the target cumulative driving mileage corresponding to the charging end time. The remaining driving mileage can be merged into the divided charging segments to obtain the target remaining driving mileage at the charging start time and the target remaining driving mileage corresponding to the charging end time, wherein the driving information may include the cumulative driving mileage and the remaining driving mileage. The target driving data may include the target cumulative driving mileage and the target remaining driving mileage.

[0089] Optionally, new data fields are defined in combination with the driving information and the charging segment.

[0090] Optionally, based on the driving information and charging segments, four new data fields can be defined to record relevant information in the nth charging segment in the vehicle's history, including the cumulative mileage at the start and end times of charging and the remaining cruising range.

[0091] Optionally, the target cumulative mileage at the start of charging (Start_OdometerValue(n)) can be used to record the cumulative mileage at the start of charging in the nth charging segment of the vehicle's history. The cumulative mileage refers to the total mileage from the time the vehicle rolled off the production line to a specific time. Recording this value can help understand the total mileage the vehicle has traveled at the start of each charging, which helps evaluate the vehicle's usage and driving conditions during the charging process.

[0092] Optionally, the target cumulative mileage at the end of charging (End_OdometerValue(n)), this field can be used to record the cumulative mileage at the end of charging in the nth charging segment of the vehicle's history. Similar to Start_OdometerValue(n), End_OdometerValue(n) can be used to record the cumulative mileage of the vehicle at the end of each charging, helping to understand the total mileage of the vehicle during the charging process.

[0093] Optionally, the target remaining driving distance at the start of charging (Start_RemainingDriveDistance(n)) can be used to record the remaining driving distance at the start of charging in the nth charging segment of the vehicle's history. The remaining driving distance refers to the estimated distance that the vehicle battery can still travel at a specific time. Recording this value can help understand the battery power status and estimated driving range of the vehicle at the start of charging.

[0094] Optionally, the target remaining driving distance at the end of charging (End_RemainingDriveDistance(n)), which records the remaining driving distance at the end of charging in the nth charging segment of the vehicle's history. Similar to Start_RemainingDriveDistance(n), End_RemainingDriveDistance(n) is used to record the remaining driving distance of the vehicle at the end of each charging, helping to evaluate the charging efficiency and driving range of the battery during the charging process.

[0095] In the embodiment of the present invention, by defining the above new data fields, key information in each charging segment can be more comprehensively recorded and analyzed, including data such as mileage and remaining range, providing detailed record and analysis support for the vehicle's charging behavior and range. This information helps to evaluate the vehicle's usage and charging efficiency, helps drivers better manage and plan charging trips, and improves the convenience and efficiency of electric vehicles.

[0096] As an optional implementation method, step S106 determines the charging preference information of the target driving object based on the target driving data, including: obtaining a first difference between the target cumulative cruising range at the start time of charging of the charging segment and the target cumulative cruising range at the end time of charging of the previous charging segment; obtaining a second difference between the target remaining mileage at the end time of charging of the charging segment and the target remaining mileage at the start time of charging of the charging segment; and determining the charging preference information based on the first difference and the second difference.

[0097] In this embodiment, in the process of determining the charging preference information of the target driving object based on the target driving data, a first difference between the target cumulative driving range at the charging start time of the charging segment and the target cumulative driving range at the charging end time of the previous charging segment can be obtained. A second difference between the target remaining driving range at the charging end time of the charging segment and the target remaining driving range at the charging start time of the charging segment can be obtained. The charging preference information can be determined based on the first difference and the second difference.

[0098] Optionally, the process of calculating the derived fields based on the defined new data fields includes the cumulative range from the charging start time of the nth charging segment to the charging end time of the n-1th charging segment, the increased range, and the personality factor characterizing the driver's judgment on the timing of charging.

[0099] Optionally, interval_last_mileage(n), this derived field (first difference) can be used to represent the cumulative mileage from the start time of the nth charging segment to the end time of the n-1th charging segment, that is, the difference between the target cumulative mileage at the start time of this charging and the target cumulative mileage at the end time of the previous charging. The value of this field can be obtained by calculating the difference between Start_OdometerValue(n) and End_OdometerValue(n-1). The above first difference can be used to understand the driving conditions between the two charging segments, that is, the total mileage of the vehicle between the two charges.

[0100] That is, interval_last_mileage(n)=Start_OdometerValue(n)-End_OdometerValue(n-

[0101] 1).

[0102] Optionally, add_RemainingDriveDistance(n), this derived field (second difference) can be used to represent the added range of the nth charging segment, that is, the increase in battery range during the charging process, that is, the difference between the target remaining range at the end of charging and the target remaining range at the start of charging for the same charging segment. The value of this field can be obtained by calculating the difference between End_RemainingDriveDistance(n) and Start_RemainingDriveDistance(n). This value can be used to understand the increase in battery range during each charging process.

[0103] That is, add_RemainingDriveDistance(n)=End_RemainingDriveDistance(n)-Start_RemainingDriveDistance(n).

[0104] As an optional embodiment, determining the charging preference information based on the first difference and the second difference includes: determining a quotient between the first difference and the second difference as the charging preference information.

[0105] In this embodiment, in the process of determining the charging preference information based on the first difference and the second difference, the quotient between the first difference and the second difference may be determined as the charging preference information.

[0106] Optionally, the charging preference information may be determined by the following formula:

[0107]

[0108] Among them, Charging_personality (n) Can be used to indicate the charging preference information of the nth charging segment; interval_last_mileage (n) Can be used to represent the first difference;

[0109] add_RemainingDriveDistance (n-1) Can be used to represent the second difference.

[0110] Optionally, Charging_personality(n), this derived field indicates the personality factor of the driver in judging the timing of charging in the nth charging segment, which is used to reflect the driver's behavioral preference when replenishing energy. The value of this field is obtained by dividing interval_last_mileage(n) by add_RemainingDriveDistance(n-1). This value can reflect the driver's sensitivity to the range and remaining power, and under what circumstances he will choose to replenish energy.

[0111] Optionally, when Charging_personality is close to 1, it means that the driver is more aggressive and tends to recharge the battery before it is almost exhausted; and when Charging_personality is close to 0, it means that the driver is more conservative and tends to charge when there is still relatively much battery power remaining.

[0112] In the embodiment of the present invention, by calculating these derived fields, the data of the historical charging segments can be analyzed more deeply, the driving conditions and the driver's behavior preferences during the vehicle charging process can be understood, and more reference information can be provided for vehicle management and charging planning. These derived fields help optimize the charging strategy and improve the charging efficiency, and can also help the driver better manage the vehicle's range and charging behavior.

[0113] As an optional embodiment, the driving information includes the vehicle's location information, and the charging prompt information includes navigation prompt information, and the navigation prompt information is used to indicate whether the vehicle has traveled to a target charging device to charge the battery. In step S110, in response to the actual power of the battery reaching the target power, navigation prompt information of the battery is generated, including: obtaining road information and charging device information of the road on which the vehicle is located; in response to the actual power reaching the target power, determining the target charging device based on the road information, charging device information and location information, wherein the target charging device is a charging device whose distance from the vehicle is less than or equal to a distance threshold; and generating navigation prompt information based on the charging device information of the target charging device.

[0114] In this embodiment, when the actual power of the battery reaches the target power and the navigation prompt information is generated, the target charging device can be determined based on the road information, the charging device information and the location information. Navigation prompt information can be generated based on the charging device information of the target charging device, wherein the driving information may include the location information of the vehicle, that is, the longitude and latitude of the vehicle's location. The charging prompt information includes navigation prompt information. The navigation prompt information can be used to indicate whether the vehicle needs to travel to the target charging device to charge the battery. The target charging device can be a charging device that is less than or equal to a distance threshold from the vehicle, for example, it can be the charging device closest to the vehicle's location. The road information can be real-time road information of the road on which the vehicle is located. The charging device information can be used to indicate information such as the location of the charging device.

[0115] Optionally, the road information of the road where the vehicle is located is obtained, including real-time road conditions, road types, road conditions, etc. At the same time, the system will also obtain information about surrounding charging devices, including the location, type, and availability of the charging devices. This information will be used to determine the appropriate charging device and path planning. In response to the actual power reaching the target power, the target charging device is determined based on the road information, charging device information, and vehicle location information. Generally speaking, the target charging device is defined as a charging device that is less than or equal to a set distance threshold from the vehicle, that is, the nearest available charging device. This ensures that the driver can go to charge conveniently and quickly. Based on the charging device information of the determined target charging device, the system generates navigation prompt information. The navigation prompt information can instruct the driver how to drive to the target charging device to charge the battery. This includes path planning, route guidance, arrival time estimation, and other information to help the driver reach the charging device location smoothly. The driving information may include the location information of the vehicle, that is, the longitude and latitude of the vehicle's location. The charging prompt information includes navigation prompt information, which is used to indicate whether the vehicle needs to go to the target charging device for charging.

[0116] Through the above method, when the actual battery power reaches the target power, the appropriate target charging device can be determined according to the road information, charging device information and location information, and navigation prompt information can be generated to provide the driver with intelligent charging navigation services, so as to realize the battery charging operation conveniently and quickly. This method helps to improve the charging efficiency and the charging experience of the driver, thereby optimizing the convenience of electric vehicles and user satisfaction.

[0117] Optionally, the process of determining whether the charging timing is changed is based on the driver's personality factor, the current vehicle SOC information, and the owner's voice-driven navigation information. The driver's personality factor for determining the charging timing is calculated based on historical charging data and is used to reflect the driver's behavioral preference when replenishing energy. When the current vehicle SOC drops to When the system records the current time as t 1 This condition means that when the vehicle's battery level drops to a certain level (adjusted based on the driver's personality factors), subsequent actions can be triggered.

[0118] Optionally, according to the map software program, real-time road information and charging equipment information can be obtained. Combining the longitude and latitude information of the vehicle, the system can calculate the nearest charging station (equipment) to the current location of the vehicle as x. 1 The above method aims to provide the driver with the nearest charging equipment information, so as to facilitate the driver to charge when needed.

[0119] For example, the car computer drives the speaker to ask questions and drives the navigation information to change according to the car owner's voice, that is, triggers the navigation prompt information. 1 At that moment, the car will ask the driver a question through the loudspeaker: "Do you want to increase x 1 as a waypoint".

[0120] Based on the owner's voice response and whether the driving navigation information has changed, the system will further determine whether to change the nearest charging station to 1 Add it as a waypoint to the navigation route. If the driver agrees to add x 1 If the charging station is a waypoint, the navigation route can be updated accordingly to include the charging station information.

[0121] In an embodiment of the present invention, through the above method, personalized charging reminders and navigation services can be provided to the driver based on the driver's personality factors, the vehicle's SOC information and real-time charging equipment information. Such an intelligent process can help the driver better plan his trip, manage charging needs, and improve the convenience of driving experience and route planning. At the same time, by driving the change of navigation information by voice, the driver's needs can be responded to in a timely manner, providing a more personalized navigation service. This intelligent process helps to improve the driver's car experience and driving safety.

[0122] In an embodiment of the present invention, during the process of the target driving object of the vehicle controlling the driving of the vehicle, the driving information of the vehicle can be collected, and the power state and / or charging state of the battery in the vehicle can be detected to obtain corresponding battery information. The charging segment of the battery can be segmented according to the battery information, and the driving information can be merged into the segmented charging segment to obtain the target driving data. According to the target driving data, the target driving object's preference for the charging time of the battery can be analyzed to obtain corresponding charging preference information. According to the charging preference information, the target power that meets the preferences of the target driving object is determined. If the actual power of the battery reaches the target power during the driving of the vehicle, the charging prompt information of the battery can be generated. In this embodiment, by collecting and analyzing the driving information and battery information of the vehicle, combined with the target driving object's preference for the battery charging time, a more intelligent and personalized charging prompt service can be achieved. By evaluating the charging time preference of the driving object, the system can understand its charging habits and behavior patterns, and provide a reference basis for subsequent charging prompts. The above method can better help the driver to reasonably plan the charging itinerary, improve the charging efficiency, reduce the troubles and inconveniences caused by insufficient power, and improve the driving experience and vehicle convenience. Through intelligent charging reminders and analysis, the system can achieve more intelligent and personalized charging management based on the driver's behavioral preferences and vehicle status, providing a more convenient and intelligent experience for the use of electric vehicles. This achieves the technical effect of improving the accuracy of charging reminders for batteries in vehicles and solves the technical problem of low accuracy of charging reminders for batteries in vehicles.

[0123] The technical solution of the embodiment of the present invention is illustrated below in conjunction with preferred implementation modes.

[0124] At present, the amount of data collected by various OEMs for new energy vehicles has increased significantly, and equipment manufacturers related to new energy vehicles have also paid more and more attention to the data on their terminals. However, with the explosive growth in the amount of data uploaded by new energy vehicles, the value generated by the data has not been increased accordingly, especially for a specific user, whose historical driving data, energy replenishment data, location data, time data, etc. have not been deeply studied, resulting in new energy vehicles still being a mobile terminal with the main value of a means of transportation, and have not played an in-depth role in the study of the usage scenarios and methods of new energy vehicles in today's big data era.

[0125] Alternatively, as new energy vehicles are another mobile terminal in human life, on the one hand, people are increasingly inclined to customize the vehicle's interactive functions, and on the other hand, OEMs are increasingly paying attention to customer customization. Therefore, major OEMs and equipment manufacturers monitor vehicle driving data, charging data, etc. in real time, and use data-driven methods to understand users' usage habits, behavioral preferences, etc. for new energy vehicle products.

[0126] Alternatively, in the current field of electric vehicle charging, most systems rely on the vehicle's own battery management system (BMS) to monitor the battery's SOC value and remind users to charge according to preset thresholds. When users need to charge, they usually search for nearby charging equipment information through the vehicle's navigation system or mobile phone application (APP). Although these systems provide convenience for charging services to a certain extent, they do not take into account the user's personalized charging needs and preferences for charging timing.

[0127] Specifically, existing charging reminder systems usually only issue reminders when the SOC value drops to a certain fixed threshold. This reminder method ignores the different charging times that users may choose due to personal habits, travel arrangements, or electricity price fluctuations. In addition, existing charging equipment search functions usually only provide simple searches based on geographic locations, without intelligent push notifications based on users' personalized needs.

[0128] In summary, current technologies lack personalized charging timing judgment and fail to judge the appropriate charging time based on factors such as the user's personality and habits. Users with different personalities may have different reactions and decisions when facing low battery. For example, some users may prefer to charge in advance when the battery is sufficient to avoid inconvenience in an emergency, while others may prefer to charge when the battery is close to being exhausted to maximize mileage. Existing technologies fail to fully take into account such differences between users.

[0129] In a related technology, a method for intelligently determining the time of electric charging is proposed. The method obtains the calculated results of the distance to the target charging station and the vehicle's cruising range, compares them with the defined warning threshold, and reflects the driver's anxiety level about the cruising range by monitoring the driver's physiological characteristics. The defined warning threshold is corrected based on the driver's anxiety about the cruising range, so that charging warnings and charging station reservations can be made at appropriate times for drivers with different mileage anxieties according to the driver's mileage anxiety level and actual charging needs, so that electric vehicles can be charged in a timely and accurate manner, effectively alleviating the driver's mileage anxiety and improving the travel quality of electric vehicle drivers.

[0130] In another related technology, a vehicle charging reminder method is also proposed, which obtains a vehicle data set of a target vehicle, wherein the vehicle data set is used to at least determine the historical driving information and historical charging information of the target vehicle; the vehicle data set is redefined and calculated to determine the target data set of the target vehicle; the charging timing is calculated based on the target data set to obtain the target charging factor corresponding to the target vehicle, wherein the target charging factor is used to predict the expected charging timing corresponding to the target vehicle; and the charging reminder information of the target vehicle is generated according to the target charging factor, wherein the charging reminder information is used to provide vehicle charging reminders at the expected charging timing. The above method solves the technical problem that the flexibility and accuracy of vehicle charging reminders are low and the user experience is poor due to reliance on fixed low-battery reminder values ​​for charging reminders.

[0131] However, the above-mentioned related technologies still cannot accurately locate the specific charging time to issue the charging reminder information. Therefore, there is still a technical problem of low accuracy of the charging reminder of the battery in the vehicle.

[0132] The embodiment of the present invention proposes a method for pushing charging reminders based on the driver's personality factor, which aims to solve the two core problems in the field of related electric vehicle charging, namely, the lack of personalized charging timing judgment and the unintelligent charging equipment information push problem. By deeply analyzing the personality factors of users in judging the charging timing, and combining the current SOC value of the vehicle, more accurate and personalized charging reminders and charging equipment information push services can be achieved. Specifically, by collecting and analyzing the user's historical charging behavior, the personality factors of users in judging the charging timing, such as conservative, adventurous or balanced, are extracted. At the same time, combined with the current SOC value of the vehicle, it is possible to judge whether the user currently needs to charge and the appropriate charging time. After determining the user's charging needs, the nearby charging equipment information can be intelligently pushed based on Baidu API. This information is not only based on the geographical location, but also takes into account the user's itinerary planning. By combining these factors, the present invention can recommend charging equipment that best meets the actual needs of users. By deeply analyzing the personality factors of users in judging the charging timing, and combining the current battery SOC value of the vehicle, the invention aims to achieve more accurate and personalized charging reminders and charging equipment information push services. Thereby, the technical effect of improving the accuracy of the charging prompt of the battery in the vehicle is achieved, and the technical problem of low accuracy of the charging prompt of the battery in the vehicle is solved.

[0133] The embodiments of the present invention are further described below.

[0134] In an embodiment of the present invention, by deeply analyzing the personality factors of users in judging the timing of charging, the charging habits, behavioral preferences, and lifestyles of different users can be considered, so as to more accurately predict the charging needs of users. Different users may choose to charge at different time points according to their personal habits and needs, so analyzing the personality factors of users can help the system better understand the behavior patterns of users and provide personalized charging reminder services. Combined with the current SOC value of the vehicle, the appropriate charging time can be judged according to the actual situation of the vehicle and the personality factors of the user. By comprehensively considering the personality factors of the user and the battery status of the vehicle, the system can provide users with more accurate and personalized charging reminders, avoiding the limitations of reminder methods that rely solely on fixed thresholds. It is intended to provide intelligent charging equipment information push services. By analyzing the personality factors of users and the real-time data of vehicles, the system can intelligently push charging equipment information that meets user needs, such as charging pile location, charging speed, charging cost, etc., thereby improving user experience and enabling users to more conveniently find suitable charging equipment for charging.

[0135] In summary, by comprehensively considering the user's personality factors and the vehicle's real-time data, personalized and accurate charging reminders and intelligent charging equipment information push services are achieved, providing users with a better charging experience, while also promoting the development and innovation in the field of electric vehicle charging.

[0136] Optionally, the personality factors of the user for judging the timing of charging, such as conservative, adventurous or balanced, are extracted by collecting and analyzing the user's historical charging behavior. These personality factors reflect the user's preferences and habits in charging, which help the system to more accurately understand the user's charging behavior patterns and needs. The user's historical charging behavior data can be collected, including information such as charging time, charging frequency, and charging duration. By analyzing these data, the user's charging habits and behavior patterns can be understood. Based on the historical charging behavior data, the user's personality factors can be extracted. For example, a conservative user may tend to charge when the battery is high to ensure that the vehicle does not run out of power; while an adventurous user may prefer to delay charging until the battery is low to maximize the mileage. It is also possible to combine the vehicle's current battery SOC value to determine whether the user currently needs to charge and the appropriate charging time. Based on the user's personality factors and the actual situation of the vehicle, the system can provide the user with personalized charging reminders and recommendations to ensure that the user charges at the most suitable time.

[0137] By combining the user's personalized charging behavior patterns and personality factors, more accurate and personalized charging reminders and recommendation services can be achieved. This personalized approach can better meet the needs of users and improve the user experience, while also helping to improve the charging efficiency and utilization of electric vehicles. After determining the user's charging needs, Baidu API is used to intelligently push nearby charging equipment information. This information is not only based on geographic location, but also takes into account the user's itinerary planning, thereby achieving more intelligent and personalized recommendation services.

[0138] Optionally, based on factors such as the user's personality factors, historical charging behavior, and current SOC value, the system can determine the user's charging needs, including charging timing and charging amount. By comprehensively analyzing the user's behavior patterns and preferences, the system can better understand the user's actual needs. Once the user's charging needs are determined, the system can call the map to intelligently push nearby charging equipment information. The map provides geographic location services and charging site information, and the system can obtain nearby charging site data based on the user's current location and itinerary planning. In addition to pushing nearby charging equipment information based on geographic location, the present invention also takes into account the user's itinerary planning. By analyzing the user's itinerary path and destination, combined with charging needs, the most suitable charging equipment is recommended to the user. For example, if the user is heading to a destination, the system will recommend charging sites along the way or near the destination, so that the user can charge on the way or when arriving at the destination. By comprehensively considering factors such as the user's charging needs, geographic location, and itinerary planning, the charging equipment that best meets the user's actual needs can be recommended to the user. It can intelligently match the user's itinerary and charging needs, provide personalized charging equipment recommendations, and enable users to more conveniently find a suitable charging station for charging.

[0139] In summary, by combining factors such as the user's charging needs, geographic location, and itinerary planning, and using Baidu API to intelligently push nearby charging equipment information, a more intelligent and personalized charging equipment recommendation service is achieved, providing users with a better charging experience while also improving the charging efficiency and utilization rate of electric vehicles.

[0140] In this embodiment, Figure 2 is a flow chart of a method for pushing charging reminders based on driver personality factors according to an embodiment of the present invention. Figure 2 As shown, the method may include the following steps:

[0141] Step S201, collecting vehicle driving data, charging data and power information through the vehicle terminal.

[0142] In this embodiment, the vehicle terminal collects the driving data, charging data, and power information of the vehicle.

[0143] Optionally, the driving data specifically includes: cumulative mileage, remaining cruising range, longitude of the location, and dimension of the location, wherein the cumulative mileage, in km, is recorded as Odometer Value, which means the mileage traveled since the vehicle rolled off the production line. The remaining cruising range, in km, is recorded as Remaining Drive Distance, which means the predicted cruising range of the vehicle before the battery is exhausted. The longitude of the location, in degrees-minutes-seconds, is recorded as Longitude, which means the longitude of the current location of the vehicle. The dimension of the location, in degrees-minutes-seconds, is recorded as Latitude, which means the dimension of the current location of the vehicle.

[0144] Optionally, the charging data may include a charging status and a charging mode, wherein the charging status, with a unit of null, is recorded as Charge Status, which means representing the current charging status of the vehicle (idle / charging), and is an enumeration type. The charging mode, with a unit of null, is recorded as Chrage State, which means representing the current charging mode of the vehicle (AC charging / DC charging), and is an enumeration type.

[0145] Optionally, the power information may include a meter SOC, wherein the meter SOC, in %, is denoted as ISOC, which represents the current battery power of the vehicle and is an integer.

[0146] Step S202, uploading the data to the data processing platform.

[0147] In this embodiment, the above-mentioned driving data, charging data and power data can be uploaded to the data processing platform.

[0148] Step S203, dividing the charging segments according to certain rules.

[0149] In this embodiment, in the data processing platform, the charging segments can be segmented according to certain rules.

[0150] Optionally, the Charge Status signal data is used as the segmentation condition of the charging segment. According to the data upload frequency, if the Charge Status changes from "idle" to "charging", it is determined that this is the start time of charging; if the Charge Status changes from "charging" to "idle", it is determined that this is the end time of charging. From the start time of charging to the end time of the first charging is divided into one charging segment.

[0151] Step S204: defining a new data field based on the collected basic data fields according to the charging segment.

[0152] In this embodiment, new data fields may be defined according to the charging segment and the driving data described above.

[0153] Optionally, the cumulative mileage at the start of charging in the nth charging segment of the vehicle's history is recorded as Start_OdometerValue(n). The cumulative mileage at the end of charging in the nth charging segment of the vehicle's history is recorded as End_OdometerValue(n). The remaining cruising range at the start of charging in the nth charging segment of the vehicle's history is recorded as Start_RemainingDriveDistance(n). The remaining cruising range at the end of charging in the nth charging segment of the vehicle's history is recorded as End_RemainingDriveDistance(n).

[0154] Step S205, obtaining a derived field according to a certain calculation rule.

[0155] In this embodiment, the derived fields may be calculated based on the defined new data fields.

[0156] Optionally, the cumulative range from the start time of the nth charging segment to the end time of the (n-1)th charging segment is recorded as: interval_last_mileage(n)=Start_OdometerValue(n)-End_OdometerValue(n-1); the added range of the nth charging segment is recorded as: add_RemainingDriveDistance(n)=End_RemainingDriveDistance(n)-Start_RemainingDriveDistance(n).

[0157] Step S206 , extracting key mileage parameters of historical charging segments based on historical charging behaviors, and using them to characterize the driver's personality factors for judging charging timing.

[0158] In this embodiment, the driver's personality factor may be determined based on the above-mentioned derived fields.

[0159] Optionally, the nth charging segment characterizes the driver's personality factor in judging the charging timing as:

[0160]

[0161] Charging_personality represents the personality factor of the driver in judging the timing of charging, Charging_personality∈(0,1). The closer Charging_personality is to 1, the more aggressive the driver is, that is, the driver will recharge before the battery is almost exhausted; the closer Charging_personality is to 0, the more conservative the driver is, that is, the driver will recharge when there is still relatively much battery power left.

[0162] Optionally, remember the Charging_personality of the last 50 charging segments (n) , we can determine the above 50 Charging_personalities (n) The average value of Charging_personality_avg, where Charging_personality_avg∈(0,1). The Start_ISOC corresponding to the most recent 50 charging segments is recorded. (n) , the average value Start_ISOC_avg of the above 50 battery information can be determined, where Start_ISOC_avg∈(0,1).

[0163] Optionally, the appropriate charging time is determined by the following formula:

[0164] Step S207, driving navigation reminder according to the driver's personality factor, current vehicle SOC status, real-time road information, charging equipment information, etc.

[0165] In this embodiment, the navigation reminder is driven according to the driver's personality factors, the current vehicle SOC status (actual power), real-time road information, charging equipment information, etc.

[0166] Optionally, the driver can determine whether the charging time is right based on his / her personality factors and the current vehicle SOC information, and whether the navigation information is changed based on the owner's voice. , let the current time be t 1 Obtain real-time road information and charging equipment information based on the map, and calculate the vehicle's Longitude and Latitude information 1 At time x, the nearest charging station (equipment) to the vehicle 1 At t 1 At this moment, the car computer drives the speaker to ask "Do you want to increase x 1 as a waypoint", and whether the navigation information is changed based on the owner's voice.

[0167] In an embodiment of the present invention, during the process of the target driving object of the vehicle controlling the driving of the vehicle, the driving information of the vehicle can be collected, and the power state and / or charging state of the battery in the vehicle can be detected to obtain corresponding battery information. The charging segment of the battery can be segmented according to the battery information, and the driving information can be merged into the segmented charging segment to obtain the target driving data. According to the target driving data, the target driving object's preference for the charging time of the battery can be analyzed to obtain corresponding charging preference information. According to the charging preference information, the target power that meets the preferences of the target driving object is determined. If the actual power of the battery reaches the target power during the driving of the vehicle, the charging prompt information of the battery can be generated. In this embodiment, by collecting and analyzing the driving information and battery information of the vehicle, combined with the target driving object's preference for the battery charging time, a more intelligent and personalized charging prompt service can be achieved. By evaluating the charging time preference of the driving object, the system can understand its charging habits and behavior patterns, and provide a reference basis for subsequent charging prompts. The above method can better help the driver to reasonably plan the charging itinerary, improve the charging efficiency, reduce the troubles and inconveniences caused by insufficient power, and improve the driving experience and vehicle convenience. Through intelligent charging reminders and analysis, the system can achieve more intelligent and personalized charging management based on the driver's behavioral preferences and vehicle status, providing a more convenient and intelligent experience for the use of electric vehicles. This achieves the technical effect of improving the accuracy of charging reminders for batteries in vehicles and solves the technical problem of low accuracy of charging reminders for batteries in vehicles.

[0168] According to an embodiment of the present invention, a charging reminder device for a battery in a vehicle is also provided. It should be noted that the charging reminder device for a battery in a vehicle can be used to execute the charging reminder method for a battery in a vehicle in the above embodiment.

[0169] Figure 3 Schematic diagram of a battery charging reminder device in a vehicle according to an embodiment of the present invention. Figure 3 As shown, the charging reminder device 300 for a battery in a vehicle may include: an acquisition unit 302 , a merging unit 304 , a first determination unit 306 , a second determination unit 308 and a generation unit 310 .

[0170] The acquisition unit 302 is used to acquire the driving information of the vehicle and the battery information of the battery in the vehicle during the process of the target driving object controlling the driving of the vehicle, wherein the battery information is used to indicate the power state and / or charging state of the battery.

[0171] The merging unit 304 is used to divide the battery charging segments based on the battery information, and merge the driving information into the divided charging segments to obtain the target driving data, wherein the charging segment is a time period consisting of a corresponding charging start time to a corresponding charging end time.

[0172] The first determining unit 306 is configured to determine charging preference information of the target driving object based on the target driving data, wherein the charging preference information is used to indicate the target driving object's preference for battery charging timing.

[0173] The second determining unit 308 is configured to determine a target power level of the battery based on the charging preference information, wherein the target power level is used to indicate a charging timing that satisfies the preference of the target driver.

[0174] The generating unit 310 is configured to generate charging prompt information of the battery in response to the actual power level of the battery reaching the target power level.

[0175] Optionally, the second determination unit 308 may include: a first acquisition module, used to obtain charging preference information corresponding to the target number of charging segments, and battery information corresponding to the target number of charging start times; a first determination module, used to determine the target power based on the charging preference information of the target number and the battery information of the target number.

[0176] Optionally, the first determination module may include: a first acquisition submodule, used to obtain the average charging preference information of the target quantity of charging preference information, and to obtain the average battery information of the target quantity of battery information; a first determination submodule, used to determine the quotient between the average battery information and the average charging preference information as the target power.

[0177] Optionally, the first control unit 304 may include: determining the moment corresponding to the time when the charging status information jumps from the idle state to the running state as the charging start time; determining the moment corresponding to the time when the charging status information jumps from the running state to the idle state as the charging end time; and determining the time period composed of the same charging start time and charging end time as a charging segment.

[0178] Optionally, the merging unit 304 may include: a second determination module, used to determine the moment corresponding to the moment when the charging status information jumps from the idle state to the running state as the charging start time; a third determination module, used to determine the moment corresponding to the moment when the charging status information jumps from the running state to the idle state as the charging end time; and a fourth determination module, used to determine the time period composed of the same charging start time and charging end time as a charging segment.

[0179] Optionally, the merging unit 304 may include: a first merging module, used to merge the cumulative mileage into the divided charging segments, and obtain the target cumulative mileage corresponding to the start time of charging, and the target cumulative mileage corresponding to the end time of charging; a second merging module, used to merge the remaining mileage into the divided charging segments, and obtain the target remaining mileage at the start time of charging, and the target remaining mileage corresponding to the end time of charging.

[0180] Optionally, the first determination unit 306 may include: a second acquisition module, used to obtain a first difference between the target cumulative cruising range at the start time of charging of the charging segment and the target cumulative cruising range at the end time of charging of the previous charging segment; a third acquisition module, used to obtain a second difference between the target remaining mileage at the end time of charging of the charging segment and the target remaining mileage at the start time of charging of the charging segment; and a fifth determination module, used to determine the charging preference information based on the first difference and the second difference.

[0181] Optionally, the fifth determination module may include: a second determination submodule, configured to determine a quotient between the first difference and the second difference as the charging preference information.

[0182] Optionally, the generation unit 310 may include: a fourth acquisition module, used to acquire road information and charging equipment information of the road on which the vehicle is located; a sixth determination module, used to determine the target charging device in response to the actual power reaching the target power, based on the road information, charging equipment information and location information, wherein the target charging device is a charging device whose distance from the vehicle is less than or equal to a distance threshold; a generation module, used to generate navigation prompt information based on the charging equipment information of the target charging device.

[0183] In an embodiment of the present invention, the acquisition unit 302 acquires the driving information of the vehicle and the battery information of the battery in the vehicle during the process of the target driving object controlling the driving of the vehicle, wherein the battery information is used to indicate the power state and / or charging state of the battery; the merging unit 304 divides the charging segment of the battery based on the battery information, and merges the driving information into the divided charging segment to obtain the target driving data, wherein the charging segment is a time period consisting of a corresponding charging start time to a corresponding charging end time; the first determining unit 306 determines the charging preference information of the target driving object based on the target driving data, wherein the charging preference information is used to indicate the degree of preference of the target driving object for the charging timing of the battery; the second determining unit 308 determines the target power of the battery based on the charging preference information, wherein the target power is used to indicate the charging timing that satisfies the preference of the target driving object; the generating unit 310 generates the charging prompt information of the battery in response to the actual power of the battery reaching the target power, thereby solving the technical problem of low accuracy of the charging prompt of the battery in the vehicle and achieving the technical effect of improving the accuracy of the charging prompt of the battery in the vehicle.

[0184] According to an embodiment of the present invention, a computer-readable storage medium is further provided. The storage medium includes a stored program, wherein the program executes the charging reminder method for a battery in a vehicle in the above embodiment.

[0185] According to an embodiment of the present invention, a processor is further provided, and the processor is used to run a program, wherein when the program is run, the charging reminder method for a battery in a vehicle in the above embodiment is executed.

[0186] The embodiment of the present application also provides a computer program product. Optionally, in the present embodiment, the computer program product may include a computer program, and when the computer program is executed by a processor, the battery charging reminder method in the vehicle of the embodiment of the present application is implemented.

[0187] According to an embodiment of the present invention, a vehicle is further provided. The vehicle is used to execute the charging reminder method for a battery in a vehicle according to an embodiment of the present invention.

[0188] In the above embodiments of the present invention, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0189] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only schematic. For example, the division of the units can be a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0190] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0191] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0192] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, Read-Only Memory (ROM), Random Access Memory (RAM), mobile hard disk, magnetic disk or optical disk, etc., various media that can store program codes.

[0193] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principle of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A charging reminder method for a battery in a vehicle, characterized in that: include: During the process of the target driving object controlling the driving of the vehicle, obtaining driving information of the vehicle and battery information of a battery in the vehicle, wherein the battery information is used to indicate the power state and / or charging state of the battery; Based on the battery information, the charging segments of the battery are segmented, and the driving information is merged into the segmented charging segments to obtain target driving data, wherein the charging segment is a time period consisting of a corresponding charging start time to a corresponding charging end time; Determining charging preference information of the target driving object based on the target driving data, wherein the charging preference information is used to indicate the degree of preference of the target driving object for the charging timing of the battery; Determining a target power level of the battery based on the charging preference information, wherein the target power level is used to indicate the charging timing that satisfies the preference of the target driving object; In response to the actual power level of the battery reaching the target power level, charging prompt information for the battery is generated.

2. The method according to claim 1, characterized in that Determining a target power of the battery based on the charging preference information includes: Acquire the charging preference information corresponding to the target number of charging segments respectively, and the battery information corresponding to the target number of charging start times respectively; The target power is determined based on the target amount of the charging preference information and the target amount of the battery information.

3. The method according to claim 2, characterized in that Determining the target power based on the charging preference information of the target quantity and the battery information of the target quantity includes: acquiring average charging preference information of the target number of charging preference information, and acquiring average battery information of the target number of battery information; The quotient between the average battery information and the average charging preference information is determined as the target power.

4. The method according to claim 1, characterized in that: The battery information includes charging status information, wherein the charging segments of the battery are divided based on the battery information, including: Determine the time corresponding to the transition of the charging status information from the idle state to the running state as the charging start time; Determine the time corresponding to the transition of the charging status information from the running state to the idle state as the charging end time; A time period consisting of the same charging start time and the charging end time is determined as the charging segment.

5. The method according to claim 1, characterized in that The driving information includes the accumulated driving mileage and the remaining driving mileage, and the target driving data includes the target accumulated driving mileage and the target remaining driving mileage, wherein the driving information is merged into the divided charging segments to obtain the target driving data, including: Merging the accumulated mileage into the divided charging segments, and obtaining the target accumulated mileage corresponding to the charging start time and the target accumulated mileage corresponding to the charging end time respectively; The remaining mileage is merged into the divided charging segments to obtain the target remaining mileage at the charging start time and the target remaining mileage corresponding to the charging end time.

6. The method according to claim 5, characterized in that Determining charging preference information of the target driving object based on the target driving data includes: Obtaining a first difference between the target cumulative driving range at the charging start time of the charging segment and the target cumulative driving range at the charging end time of the previous charging segment; acquiring a second difference between the target remaining mileage at the charging end time of the charging segment and the target remaining mileage at the charging start time of the charging segment; The charging preference information is determined based on the first difference and the second difference.

7. The method according to claim 6, characterized in that Determining the charging preference information based on the first difference and the second difference includes: The quotient between the first difference and the second difference is determined as the charging preference information.

8. The method according to claim 1, characterized in that The driving information includes the location information of the vehicle, the charging prompt information includes navigation prompt information, and the navigation prompt information is used to indicate whether the vehicle drives to a target charging device to charge the battery, wherein in response to the actual power of the battery reaching the target power, the navigation prompt information of the battery is generated, including: Obtaining road information and charging equipment information of the road where the vehicle is located; In response to the actual power reaching the target power, determining a target charging device based on the road information, the charging device information and the location information, wherein the target charging device is a charging device whose distance from the vehicle is less than or equal to a distance threshold; The navigation prompt information is generated based on the charging device information of the target charging device.

9. A battery charging reminder device in a vehicle, characterized in that: include: an acquisition unit, used for acquiring driving information of the vehicle and battery information of a battery in the vehicle during the process of the target driving object controlling the driving of the vehicle, wherein the battery information is used for indicating the power state and / or charging state of the battery; a merging unit, configured to divide the charging segments of the battery based on the battery information, and merge the driving information into the divided charging segments to obtain target driving data, wherein the charging segment is a time period consisting of a corresponding charging start time to a corresponding charging end time; A first determining unit, configured to determine charging preference information of the target driving object based on the target driving data, wherein the charging preference information is used to indicate a preference of the target driving object for a charging timing of the battery; A second determining unit, configured to determine a target power level of the battery based on the charging preference information, wherein the target power level is used to indicate the charging timing that satisfies the preference of the target driving object; A generating unit is used to generate charging prompt information of the battery in response to the actual power of the battery reaching the target power.

10. A processor, characterized in that: The processor is used to run a program, wherein the program, when run by the processor, executes the charging reminder method for a battery in a vehicle as described in any one of claims 1 to 9.

11. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored program, wherein when the program is executed, the device where the computer-readable storage medium is located is controlled to execute the charging reminder method for a battery in a vehicle as claimed in any one of claims 1 to 9.

12. An electronic device, characterized in that: The invention comprises a memory and a processor, wherein the memory stores a computer program, and the processor is configured to run the computer program to execute the charging reminder method for a battery in a vehicle as claimed in any one of claims 1 to 9.

13. A computer program product, characterized in that The invention comprises a computer program, which, when executed by a processor, implements the charging reminder method for a battery in a vehicle according to any one of claims 1 to 9.

14. A vehicle, characterized in that: A method for charging a battery in a vehicle according to any one of claims 1 to 9.

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