Intelligent prompting method for vehicle charging

Abstract

The invention discloses a vehicle charging intelligent prompting method, and the main design conception of the invention lies in that aiming at the specific demand of charging a vehicle in advance, daily vehicle power consumption data is combined with charging information embodied based on the charging habit of a user so as to pre-judge whether the demand of charging in advance exists or not. Specifically, on the basis of comprehensive analysis of daytime vehicle power consumption data and charging data, personalized habits and preferences of corresponding vehicle power consumption and charging are determined, a judgment threshold value related to the habits and preferences of a user is dynamically obtained, and then the judgment threshold value is obtained on the basis of comparison between the actual vehicle remaining power and the threshold value. And predicting whether a charging demand exists and deciding whether to actively send a corresponding prompt to a user. According to the method and the system, the personalized requirements on the charging opportunity and the charging early warning are met, and meanwhile, the user is prevented from anxiety during daily vehicle use, so that the use experience of the user on the new energy vehicle can be remarkably improved.

Description

Technical Field

[0001] This invention relates to the field of new energy vehicle charging technology, and in particular to a method for intelligent vehicle charging reminders. Background Technology

[0002] Currently, the timing of low battery charging reminders for new energy vehicles is usually achieved by determining when the battery level drops to a threshold set by the vehicle or by allowing the user to set a threshold.

[0003] However, existing technologies based on predetermined fixed thresholds are insufficient to meet the dynamic demands of increasingly diverse vehicle usage scenarios for charging timing and charging warnings. The inability to dynamically determine charging timing adds extra anxiety to users during daily vehicle use.

[0004] In other words, the current charging reminder scheme does not match the personalized needs of users. It usually only sends a charging reminder to the user during or just before using the vehicle, based on the actual battery level. However, it is often not suitable to charge immediately at this time, which causes trouble and anxiety for users in the following use of the vehicle, and significantly affects the user experience of new energy vehicles. Summary of the Invention

[0005] In view of the above, the present invention aims to provide a vehicle charging intelligent reminder method to solve the aforementioned technical problems.

[0006] The technical solution adopted in this invention is as follows:

[0007] This invention provides a vehicle charging intelligent reminder method, including:

[0008] Continuously acquire daily power consumption data of the vehicle and historical data of remaining power before each charging session;

[0009] Based on the daily power consumption data, the average power consumption data of the vehicle over N working days is calculated on a rolling basis; and based on the historical remaining power data, the average remaining power data before charging for M times is calculated on a rolling basis.

[0010] The average power consumption data and the average remaining power are combined to form a dynamic threshold for predicting user charging needs;

[0011] Collect the current actual remaining battery power and compare it with the dynamic threshold;

[0012] Based on the comparison results, a decision is made on whether to send a charging reminder message.

[0013] In at least one possible implementation, the intelligent suggestion method further includes:

[0014] Obtain user travel planning data;

[0015] Calculate the required electricity consumption based on the aforementioned trip planning data;

[0016] The dynamic threshold is updated using the required power consumption.

[0017] In at least one possible implementation, the intelligent suggestion method further includes:

[0018] Collect data on daily charging locations and calculate the frequency of charging at each location;

[0019] Several target charging locations are determined based on the frequency.

[0020] Based on the target charging location and the current vehicle location information, a recommended charging location is added to the charging prompt information.

[0021] In at least one possible implementation, the fusion of the average power consumption data and the average remaining power includes:

[0022] The sum of the average power consumption data and the average remaining power is used as a predictive factor to determine whether the user intends to charge the device at a future time.

[0023] In at least one of the possible implementations, the decision on whether to push a charging reminder based on the comparison result includes: if the actual remaining battery power is less than or equal to the dynamic threshold, then output a reminder message for scheduled charging.

[0024] In at least one of the possible implementations, the charging reminder information is simultaneously pushed to the vehicle's central control screen and the user's mobile terminal to achieve effective reminders.

[0025] Compared to existing technologies, the main design concept of this invention lies in addressing the specific need for advance vehicle charging by combining daily vehicle power consumption data with charging information based on user charging habits to predict whether an advance charging need exists. Specifically, based on a comprehensive analysis of daytime vehicle power consumption and charging data, personalized habits and preferences for vehicle power consumption and charging are determined, and a judgment threshold related to user habits and preferences is dynamically obtained. Then, based on a comparison between the actual remaining vehicle power and this threshold, the existence of a charging need is predicted, and a decision is made on whether to proactively issue a corresponding reminder to the user. This invention, while satisfying the personalized needs for charging timing and charging warnings, avoids user anxiety during daily vehicle use, thereby significantly improving the user experience of new energy vehicles. Attached Figure Description

[0026] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described below with reference to the accompanying drawings, wherein:

[0027] Figure 1 This is a schematic diagram of the intelligent vehicle charging reminder method provided in an embodiment of the present invention. Detailed Implementation

[0028] Embodiments of the present invention are described in detail below. Examples of these embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, and should not be construed as limiting the present invention.

[0029] This invention proposes an embodiment of a vehicle charging intelligent reminder method, specifically, as follows: Figure 1 As shown, it includes:

[0030] Step S1: Continuously acquire the vehicle's daily power consumption data and historical data of remaining power before each charging session.

[0031] Step S2: Based on the daily power consumption data, calculate the average power consumption data of the vehicle over N (settable) working days (i.e., the daily average that conforms to user habits and preferences); and based on the historical remaining power data, calculate the average remaining power data before charging for M (settable) times (i.e., the single average that conforms to user habits and preferences).

[0032] The rolling calculation mentioned here reflects the intention to dynamically obtain the above data. That is, based on the "current" time and with N and M as set quantities, the average power consumption data and the average remaining power data can be dynamically obtained as time and charging cycles increase.

[0033] Step S3: Combine the average power consumption data and the average remaining power as a dynamic threshold for predicting user charging needs;

[0034] Specifically, the two can be added together, and the sum can be used as a predictive factor to determine whether the user may intend to charge at a future time. Since this factor is obtained by continuously collecting and summing the aforementioned data, it may change dynamically, hence it is called a dynamic threshold.

[0035] Step S4: Collect the current actual remaining battery power and compare it with the dynamic threshold;

[0036] Step S5: Based on the comparison results, decide whether to push a charging reminder message.

[0037] For example, when the actual remaining battery power is less than or equal to the dynamic threshold, it is predicted that the user will have a charging need, and a charging reminder message can be output. Those skilled in the art will understand that the charging reminder in this invention does not rely on battery power and performance. That is, in some embodiments, the dynamic threshold may be far from the calibrated design value, such as a SOC of 55%. However, if the actual remaining battery power reaches or falls below the aforementioned dynamic threshold associated with user habits, a charging reminder message will still be output. Therefore, this can be understood as a pre-charging reminder that conforms to the user's personalized habits. This invention does not focus on the impact on the battery's performance; its main purpose is to solve the problem of charging anxiety.

[0038] Of course, to ensure that users reliably receive the charging reminder information, the charging reminder information can be simultaneously pushed to the vehicle's central control screen and the user's mobile terminal to achieve effective reminders.

[0039] In addition, the frequency of daily charging locations is collected and calculated, and several target charging locations are determined based on the frequency. Based on the target charging locations and the current vehicle location information, recommended charging locations are added to the charging prompt information.

[0040] Finally, it can be added that the intelligent prompting method also includes: obtaining the user's trip planning data, calculating the corresponding required power consumption based on the trip planning data, and updating the dynamic threshold using the required power consumption.

[0041] Understandably, adding the average required electricity, calculated from the trip planning distance, to the factor that predicts user charging conditions can better meet the user's upcoming vehicle usage needs. This average required electricity can be obtained based on the electricity consumption data per kilometer of daily driving habits, and the demand prediction can be further processed based on the updated dynamic threshold.

[0042] In summary, the main design concept of this invention lies in addressing the specific need for advance vehicle charging by combining daily vehicle power consumption data with charging information based on user charging habits to predict whether an advance charging need exists. Specifically, based on a comprehensive analysis of daytime vehicle power consumption and charging data, personalized habits and preferences for vehicle power consumption and charging are determined, and a judgment threshold related to user habits and preferences is dynamically obtained. Then, based on a comparison between the actual remaining vehicle power and this threshold, the existence of a charging need is predicted, and a decision is made on whether to proactively issue a corresponding reminder to the user. This invention, while satisfying the personalized needs for charging timing and charging warnings, avoids user anxiety during daily vehicle use, thereby significantly improving the user experience of new energy vehicles.

[0043] In this invention, when directional terms are mentioned, they are relative concepts based on the embodiments. Furthermore, "at least one" refers to one or more, and "more than one" refers to two or more. "And / or" describes the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent the existence of A alone, A and B simultaneously, or B alone. A and B can be singular or plural. The character " / " generally indicates that the preceding and following related objects have an "or" relationship. "At least one of the following" and similar expressions refer to any combination of these items, including any combination of single or plural items. For example, at least one of a, b, and c can represent: a, b, c, a and b, a and c, b and c, or a and b and c, where a, b, and c can be single or multiple.

[0044] The above description of the structure, features, and effects of the present invention is based on the embodiments shown in the figures. However, the above are only preferred embodiments of the present invention. It should be noted that the technical features involved in the above embodiments and their preferred methods can be reasonably combined and matched by those skilled in the art to form a variety of equivalent solutions without departing from or changing the design concept and technical effects of the present invention. Therefore, the present invention is not limited to the scope of implementation shown in the figures. Any changes made in accordance with the concept of the present invention, or modifications to equivalent embodiments, that do not exceed the spirit covered by the specification and figures, should be within the protection scope of the present invention.

Claims

1. A method for intelligent vehicle charging reminders, characterized in that, include: Continuously acquire daily power consumption data of the vehicle and historical data of remaining power before each charging session; Based on the daily power consumption data, the average power consumption data of the vehicle over N working days is calculated on a rolling basis; and based on the historical remaining power data, the average remaining power data before charging for M times is calculated on a rolling basis. The average power consumption data and the average remaining power are combined to form a dynamic threshold for predicting user charging needs; Collect the current actual remaining battery power and compare it with the dynamic threshold; Based on the comparison results, a decision is made on whether to send a charging reminder message.

2. The intelligent vehicle charging reminder method according to claim 1, characterized in that, The intelligent prompting method also includes: Obtain user travel planning data; Calculate the required electricity consumption based on the aforementioned trip planning data; The dynamic threshold is updated using the required power consumption.

3. The intelligent vehicle charging reminder method according to claim 1, characterized in that, The intelligent prompting method also includes: Collect data on daily charging locations and calculate the frequency of charging at each location; Several target charging locations are determined based on the frequency. Based on the target charging location and the current vehicle location information, a recommended charging location is added to the charging prompt information.

4. The intelligent vehicle charging reminder method according to claim 1, characterized in that, The fusion of the average power consumption data and the average remaining power includes: The sum of the average power consumption data and the average remaining power is used as a predictive factor to determine whether the user intends to charge the device at a future time.

5. The intelligent vehicle charging reminder method according to claim 1, characterized in that, The decision on whether to push a charging reminder based on the comparison results includes: if the actual remaining battery power is less than or equal to the dynamic threshold, then output a reminder message for scheduled charging.

6. The vehicle charging intelligent reminder method according to any one of claims 1 to 5, characterized in that, The charging reminder information is simultaneously pushed to the vehicle's central control screen and the user's mobile terminal to provide effective reminders.

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