A charging station orderly charging control terminal and method

Abstract

The present invention provides a charging station orderly charging management and control terminal and method, the terminal includes a demand prediction module, a user interaction module and a recommendation optimization module; the demand prediction module is used to predict the charging information of the charging station in various future date periods, and intelligently adjust the load demand of the charging station; the user interaction module is used to provide an interactive interface to complete the interaction between the user and the terminal, and provide the user with a remote charging reservation function; the recommendation optimization module is used to recommend the best charging time and a personalized charging plan to the user according to the user's needs, the actual situation of the charging station and the predicted charging information; the present invention can reduce the user's charging waiting time and balance the charging station load by providing the user with the best charging time and a personalized charging plan, thereby ensuring the efficient and stable operation of the charging station.

Description

Technical Field

[0001] The present invention relates to the technical field of charging station management and control systems, and in particular to a charging station orderly charging management and control terminal and method. Background Art

[0002] With the popularity of electric vehicles, the number and frequency of use of charging stations have increased significantly; however, the existing charging station management system still faces many challenges in predicting charging demand, improving user experience, and optimizing resource utilization; traditional charging stations usually lack accurate demand prediction capabilities, which leads to overloads and queues during peak charging periods, and possible waste of charging resources during off-peak periods; in addition, the user interaction function of the existing system is relatively simple and cannot fully consider the user's personalized needs and charging habits, thus affecting user experience and satisfaction.

[0003] After consulting the relevant disclosed technical solutions, the technology with publication number CN114435169A proposes a charging station management system and method based on image recognition, which is composed of a charging station management cloud platform, a charging station edge controller, an intelligent camera, a charging pile, etc.; the charging station edge controller obtains the image data of the intelligent camera in real time to monitor the environmental safety and parking space occupancy of the charging station; the charging station edge controller monitors the transformer load in real time and coordinates the charging power of each charging pile. The collected data and analysis results of the charging station edge controller are regularly reported to the charging station management cloud platform to support the safety management and charging operation of the charging station. The present invention combines the image recognition technology of the intelligent camera, coordinates the operation and management of the charging station, effectively monitors the charging safety, and reduces the waste of resources caused by the occupation of the charging parking space, so as to provide users with safe and friendly charging services; but although the scheme combines the image recognition technology to monitor the environmental safety and parking space occupancy of the charging station, it lacks the ability to predict future charging needs, and cannot provide optimized charging time adjustment and personalized charging plans according to the user's charging habits and actual needs. Summary of the invention

[0004] The purpose of the present invention is to propose a cigarette status detection system based on multi-property cigarette shared warehouse management in view of the current shortcomings.

[0005] The present invention adopts the following technical solution:

[0006] A charging station orderly charging management and control terminal, the terminal includes a demand prediction module, a user interaction module and a recommendation optimization module; the demand prediction module is used to predict the charging information of the charging station in various future dates and time periods, and intelligently adjust the load demand of the charging station; the user interaction module is used to provide an interactive interface to complete the interaction between the user and the terminal, and provide the user with a remote reservation charging function; the recommendation optimization module is used to recommend the best charging time and personalized charging plan to the user according to the user's needs, the actual situation of the charging station and the predicted charging information;

[0007] The demand prediction module includes a data collection unit, a demand prediction unit and a load demand adjustment unit; the data collection unit is used to collect historical charging information of the charging station; the demand prediction unit is used to predict the charging information of each future date period based on the historical charging information; the load demand adjustment unit is used to intelligently adjust the load demand required by the charging station for each future date period based on the predicted charging information;

[0008] The user interaction module includes a remote reservation unit, a display unit and an information feedback unit; the remote reservation unit is used to provide an interactive interface, through which the user can remotely reserve the charging time and set the selectable charging time range; the display unit is used to display the predicted charging information of the charging station for each date period in the future; the information feedback unit is used to display the estimated completion time of the reserved charging time for the user;

[0009] Furthermore, the demand prediction unit completes the prediction of charging information for each future date period in the following manner:

[0010] S21: Establish a prediction history framework, the prediction history framework includes The historical charging information of the charging station within a time cycle; the time cycle is a time cycle containing complete date features;

[0011] S22: Decompose each time cycle into multiple date periods containing date features, and calculate the predicted charging information for each date period in the following manner:

[0012] For each date period, the charging information for each category is calculated as follows:

[0013] ;

[0014] in, The predicted charging information of the type of charging information during the date period, the type of charging information being, but not limited to, charging station load information, charging station usage time information, and vehicle charging waiting information; It is the sorting ordinal number of the time cycle. The larger the sorting ordinal number, the closer the time cycle is to the current time. For this type of charging information The specific value of the time cycle period; is the total number of time cycle periods;

[0015] S23: each time the historical charging information of the charging station in a new time cycle is obtained, the historical charging information of the charging station in the time cycle farthest from the current time in the prediction history framework is deleted, and the historical charging information of the charging station in the new time cycle is added to the prediction history framework, and then the calculation of the predicted charging information for each date period in step S22 is re-executed based on the data in the prediction history framework to reflect the impact of the latest historical data on the predicted charging information;

[0016] Further, the information feedback unit is used to provide and display the estimated completion time of charging to the user in combination with the scheduled charging time, the vehicle charging waiting information in the prediction information, and the time required for charging;

[0017] Further, the load demand adjustment unit coordinates the power grid based on the charging station load information in the predicted charging information for each future date period to adjust the load demand of the charging station for each future date period, wherein the load demand is specifically the total amount of electricity that the charging station needs to obtain from the power grid for each future date period;

[0018] Furthermore, the recommendation optimization module includes a charging time recommendation unit and a charging plan recommendation unit; the charging time recommendation unit is used to recommend the best charging time to the user if the user has currently reserved the charging time; the charging plan recommendation unit is used to provide the user with a personalized charging plan based on the user's charging habits and the actual situation and predicted charging information of the charging station;

[0019] A method for orderly charging control of a charging station, the method comprising the following steps:

[0020] S1: Obtain historical charging information of the charging station;

[0021] S2: predict the charging information of each date and time period in the future based on the historical charging information;

[0022] S3: Intelligently adjust the load demand of the charging station at various dates and time periods in the future based on the predicted charging information;

[0023] S4: Obtaining the user's scheduled charging time and setting a selectable charging time range through an interactive interface;

[0024] S5: Provide the user with the best charging time within the charging time range set by the user;

[0025] S6: Provide users with personalized charging plans based on their charging habits, actual conditions at charging stations, and predicted charging information.

[0026] The beneficial effects achieved by the present invention are:

[0027] The present invention combines the historical charging data of the charging station and establishes a prediction history framework, thereby ensuring that the predicted charging information can reflect the latest demand and improving the accuracy and real-time nature of the prediction; by combining the predicted charging information to provide the best charging time within the charging time range set by the user, the user's waiting time can be reduced and the charging station load can be balanced; by providing users with personalized charging plans, the user's charging behavior is guided to achieve the optimal allocation of charging resources, thereby ensuring the efficient and stable operation of the charging station. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] The present invention can be further understood from the following description in conjunction with the accompanying drawings. The components in the figures are not necessarily drawn to scale, but the emphasis is placed on illustrating the principles of the embodiments. In different views, the same reference numerals designate corresponding parts.

[0029] Figure 1 It is a schematic diagram of the overall module of the present invention.

[0030] Figure 2 It is a schematic diagram of the flow of the orderly charging control method of the charging station of the present invention.

[0031] Figure 3 Schematic diagram of the workflow of the demand forecasting unit of the present invention.

[0032] Figure 4 This is a schematic diagram of the working process of the charging time recommendation unit of the present invention.

[0033] Figure 5 This is a schematic diagram of the working process of the charging plan recommendation unit of the present invention. DETAILED DESCRIPTION

[0034] In order to make the objectives, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with its embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention; for those skilled in the art, other systems, methods and / or features of the present embodiment will become apparent after reviewing the following detailed description; it is intended that all such additional systems, methods, features and advantages are included in this specification; included within the scope of the present invention and protected by the appended claims; additional features of the disclosed embodiments are described in the following detailed description, and these features will be apparent from the following detailed description.

[0035] The same or similar numbers in the drawings of the embodiments of the present invention correspond to the same or similar parts; in the description of the present invention, it should be understood that if the terms "upper", "lower", "left", "right" and the like indicate directions or positional relationships based on the directions or positional relationships shown in the drawings, it is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or component referred to must have a specific direction, be constructed and operated in a specific direction. Therefore, the terms describing the positional relationship in the drawings are only used for illustrative purposes and cannot be understood as limitations on this patent. For ordinary technicians in this field, the specific meanings of the above terms can be understood according to specific circumstances.

[0036] Embodiment 1:

[0037] like Figure 1 As shown, this embodiment provides a charging station orderly charging management and control terminal, which includes a demand prediction module, a user interaction module and a recommendation optimization module; the demand prediction module is used to predict the charging information of the charging station in each future date period, and intelligently adjust the load demand of the charging station; the user interaction module is used to provide an interactive interface to complete the interaction between the user and the terminal, and provide the user with a remote reservation charging function; the recommendation optimization module is used to recommend the best charging time and personalized charging plan to the user according to the user's needs, the actual situation of the charging station and the predicted charging information;

[0038] The demand prediction module includes a data collection unit, a demand prediction unit and a load demand adjustment unit; the data collection unit is used to collect historical charging information of the charging station; the demand prediction unit is used to predict the charging information of each future date period based on the historical charging information; the load demand adjustment unit is used to intelligently adjust the load demand required by the charging station for each future date period based on the predicted charging information;

[0039] The user interaction module includes a remote reservation unit, a display unit and an information feedback unit; the remote reservation unit is used to provide an interactive interface, through which the user can remotely reserve the charging time and set the selectable charging time range; the display unit is used to display the predicted charging information of the charging station for each date period in the future; the information feedback unit is used to display the estimated completion time of the reserved charging time for the user;

[0040] Further, such as Figure 3 As shown, the demand prediction unit completes the prediction of charging information for each future date period in the following manner:

[0041] S21: Establish a prediction history framework, the prediction history framework includes The historical charging information of the charging station within a time cycle; the time cycle is a time period including complete date features, such as a week;

[0042] S22: Decompose each time cycle into multiple date periods containing date features, such as a date period of 17:00 on Monday; calculate the predicted charging information of each date period in the following manner:

[0043] For each date period, the charging information for each category is calculated as follows:

[0044] ;

[0045] in, The predicted charging information of the type of charging information during the date period, the type of charging information being, but not limited to, charging station load information, charging station usage time information, and vehicle charging waiting information; is the sorting ordinal number of the time cycle. The larger the sorting ordinal number, the closer the time cycle is to the current time. For this type of charging information The specific value of the time cycle period; is the total number of time cycle periods;

[0046] S23: each time the historical charging information of the charging station in a new time cycle is obtained, the historical charging information of the charging station in the time cycle farthest from the current time in the prediction history framework is deleted, and the historical charging information of the charging station in the new time cycle is added to the prediction history framework, and then the calculation of the predicted charging information for each date period in step S22 is re-executed based on the data in the prediction history framework to reflect the impact of the latest historical data on the predicted charging information;

[0047] After acquiring the historical charging information within a new time cycle, the terminal can update the prediction history framework in time, thereby ensuring that the predicted charging information can reflect the latest charging demand and usage, and improving the accuracy and real-time performance of the prediction;

[0048] Further, the information feedback unit is used to provide and display the estimated completion time of charging to the user in combination with the scheduled charging time, the vehicle charging waiting information in the prediction information, and the time required for charging;

[0049] Further, the load demand adjustment unit coordinates the power grid based on the charging station load information in the predicted charging information for each future date period to adjust the load demand of the charging station for each future date period, wherein the load demand is specifically the total amount of electricity that the charging station needs to obtain from the power grid for each future date period;

[0050] Furthermore, the recommendation optimization module includes a charging time recommendation unit and a charging plan recommendation unit; the charging time recommendation unit is used to recommend the best charging time to the user if the user has currently reserved the charging time; the charging plan recommendation unit is used to provide the user with a personalized charging plan based on the user's charging habits and the actual situation and predicted charging information of the charging station;

[0051] Further, such as Figure 4 As shown, the charging time recommendation unit completes the recommendation of the best charging time under the current user reservation status in the following manner:

[0052] S51: Obtain the charging time range selected by the user;

[0053] S52: For each date period in the charging time range selected by the user, calculate the score recommendation coefficient :

[0054] ;

[0055] in, The charging time in the charging information of the charging station is predicted for the date period. The available charging time of the charging station during the date period; The average waiting time for charging of vehicles in the charging station's charging information during this period is predicted; For the preset The coefficients for normalization; The number of vehicles that have received charging reservations for this period of time at the terminal, For the preset The coefficients for normalization; and is the weight adjustment coefficient, satisfying ;

[0056] S53: The score recommendation coefficients of each date period in the charging time range selected by the user are calculated. To sort, select The date period corresponding to the minimum value is recommended to the user as the best charging time;

[0057] By comprehensively considering the charging station usage time and vehicle charging waiting time in the prediction information, and the number of vehicle charging reservations currently received by the terminal, the score recommendation coefficient is set, and the best charging time is recommended based on the score recommendation coefficient. This can optimize the choice of charging time, reduce the user's charging waiting time, and improve charging efficiency. It also helps to balance the charging load of the charging station and improve the overall operating efficiency of the charging station.

[0058] Embodiment 2:

[0059] This embodiment should be understood to include at least all the features of any of the above embodiments, and further improve upon them;

[0060] The present embodiment provides a charging station orderly charging management and control terminal, the terminal includes a demand prediction module, a user interaction module and a recommendation optimization module; the demand prediction module is used to predict the charging information of the charging station in each future date period, and intelligently adjust the load demand of the charging station; the user interaction module is used to provide an interactive interface to complete the interaction between the user and the terminal, and provide the user with a remote reservation charging function; the recommendation optimization module is used to recommend the best charging time and personalized charging plan to the user according to the user's needs, the actual situation of the charging station and the predicted charging information;

[0061] Furthermore, the recommendation optimization module includes a charging time recommendation unit and a charging plan recommendation unit; the charging time recommendation unit is used to recommend the best charging time to the user if the user has currently reserved the charging time; the charging plan recommendation unit is used to provide the user with a personalized charging plan based on the user's charging habits and the actual situation and predicted charging information of the charging station;

[0062] Further, such as Figure 5 As shown, the charging plan recommendation unit provides a personalized charging plan for the user in the following manner:

[0063] S61: Obtaining the user's charging habit information, which can be set by the user in an interactive interface, or obtained by frequency analysis based on the user's historical charging records at the charging station; the charging habit information specifically refers to each charging date period of the user within a time cycle;

[0064] S62: Setting a charging permission fluctuation time range; the charging permission fluctuation time range is specifically a reasonable time range set according to the user's charging habits, and the user is allowed to adjust each charging date period within the time cycle within the charging permission fluctuation time range; the charging permission fluctuation time range can be set by the user through the interactive interface;

[0065] S63: For each charging date period in the user's charging habit information, within the charging permission fluctuation time range of each charging date period, optimizing and modifying each charging date period; this is specifically accomplished by:

[0066] For each date period within the charging permission fluctuation time range of each charging date period, calculate the time period optimization coefficient :

[0067] ;

[0068] in, Predict the charging time in the charging information for a charging station during a certain date period within the charging permission fluctuation time range. It is the available charging time of the charging station during a certain date period within the charging permission fluctuation time range; For a charging station in a certain date period within the charging permission fluctuation time range, predict the average waiting time for vehicles in the charging information; For the preset The normalized coefficients are It is the middle cutoff time of a certain date period within the charging permission fluctuation time range. The middle cutoff time of the user's charging date period in the user's charging habit information. Allowable fluctuation time range for charging; and is the user preference adjustment coefficient, which can be set by the user. If the user has a higher preference for the charging date and time period in the charging habit information, increase ; and meet ;

[0069] S64: For each charging date period in the user's charging habit information, obtain the time period optimization coefficient of each date period within the charging permission fluctuation time range corresponding to the charging date period , and sort them by size, and use the date period corresponding to the smallest time period optimization coefficient as the charging date period after the charging date period is optimized and modified; integrate all the optimized charging date periods in the user's charging habit information as the user's personalized charging plan;

[0070] By obtaining the user's charging habit information, setting the charging permission fluctuation time range, calculating the time period optimization coefficient and sorting it, the charging plan recommendation unit can provide users with personalized charging plans; through the bias adjustment coefficient set by the user, the user can intelligently adjust the charging time preference in the charging plan according to his or her own preferences; through the personalized charging plan to guide the user's charging behavior, it can optimize the resource utilization of the charging station, improve the charging efficiency, reduce the user's waiting time, balance the charging load, and ensure the efficient and stable operation of the charging station;

[0071] like Figure 2 As shown, this embodiment also provides a method for orderly charging control of a charging station, the method comprising the following steps:

[0072] S1: Obtain historical charging information of the charging station;

[0073] S2: predict the charging information of each date and time period in the future based on the historical charging information;

[0074] S3: Intelligently adjust the load demand of the charging station at various dates and time periods in the future based on the predicted charging information;

[0075] S4: Obtaining the user's scheduled charging time and setting a selectable charging time range through an interactive interface;

[0076] S5: Provide the user with the best charging time within the charging time range set by the user;

[0077] S6: Provide users with personalized charging plans based on their charging habits, actual conditions at charging stations, and predicted charging information.

[0078] The contents disclosed above are only preferred feasible embodiments of the present invention, and do not limit the protection scope of the present invention. Therefore, all equivalent technical changes made using the contents of the present invention specification and drawings are included in the protection scope of the present invention. In addition, the elements therein can be updated as technology develops.

Claims

1. A charging station orderly charging control terminal, characterized in that: The terminal includes a demand prediction module, a user interaction module and a recommendation optimization module; the demand prediction module is used to predict the charging information of the charging station in various future dates and time periods, and intelligently adjust the load demand of the charging station; the user interaction module is used to provide an interactive interface to complete the interaction between the user and the terminal, and provide the user with a remote reservation charging function; the recommendation optimization module is used to recommend the best charging time and personalized charging plan to the user according to the user's needs, the actual situation of the charging station and the predicted charging information; The demand prediction module includes a data collection unit, a demand prediction unit and a load demand adjustment unit; the data collection unit is used to collect historical charging information of the charging station; the demand prediction unit is used to predict the charging information of each future date period based on the historical charging information; the load demand adjustment unit is used to intelligently adjust the load demand required by the charging station for each future date period based on the predicted charging information; The user interaction module includes a remote reservation unit, a display unit and an information feedback unit; the remote reservation unit is used to provide an interactive interface, through which the user can remotely reserve the charging time and set the selectable charging time range; the display unit is used to display the predicted charging information of the charging station for each date period in the future; the information feedback unit is used to display the estimated completion time of the reserved charging time for the user; The demand prediction unit completes the prediction of charging information for each future date period in the following manner: S21: Establish a prediction history framework, the prediction history framework includes The historical charging information of the charging station within a time cycle; the time cycle is a time cycle containing complete date features; S22: Decompose each time cycle into multiple date periods containing date features, and calculate the predicted charging information for each date period in the following manner: For each date period, the charging information for each category is calculated as follows: ； in, The predicted charging information of the type of charging information during the date period, wherein the types of charging information include charging station load information, charging station usage time information, and vehicle charging waiting information; It is the sorting ordinal number of the time cycle. The larger the sorting ordinal number, the closer the time cycle is to the current time. For this type of charging information The specific value of the time cycle period; is the total number of time cycle periods; S23: each time the historical charging information of the charging station in a new time cycle is obtained, the historical charging information of the charging station in the time cycle farthest from the current time in the prediction history framework is deleted, and the historical charging information of the charging station in the new time cycle is added to the prediction history framework, and then the calculation of the predicted charging information for each date period in step S22 is re-executed based on the data in the prediction history framework to reflect the impact of the latest historical data on the predicted charging information; The recommendation optimization module includes a charging time recommendation unit and a charging plan recommendation unit; the charging time recommendation unit is used to recommend the best charging time to the user when the user has currently reserved a charging time; the charging plan recommendation unit is used to provide the user with a personalized charging plan based on the user's charging habits and the actual situation and predicted charging information of the charging station.

2. The orderly charging control terminal of a charging station according to claim 1, characterized in that: The information feedback unit is used to provide and display the estimated charging completion time for the user in combination with the scheduled charging time, the vehicle charging waiting information in the prediction information, and the charging required time.

3. A charging station orderly charging control terminal according to claim 2, characterized in that: The load demand adjustment unit coordinates the power grid based on the charging station load information in the predicted charging information for each future date period to adjust the load demand of the charging station for each future date period. The load demand is specifically the total amount of electricity that the charging station needs to obtain from the power grid for each future date period.

4. A method for orderly charging control of a charging station, the method being used for the orderly charging control terminal of a charging station as claimed in claim 3, characterized in that: The method comprises the following steps: S1: Obtain historical charging information of the charging station; S2: predict the charging information of each date and time period in the future based on the historical charging information; S3: Intelligently adjust the load demand of the charging station at various dates and time periods in the future based on the predicted charging information; S4: Obtaining the user's scheduled charging time and setting a selectable charging time range through an interactive interface; S5: Provide the user with the best charging time within the charging time range set by the user; S6: Provide users with personalized charging plans based on their charging habits, actual conditions at charging stations, and predicted charging information.

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