CN-122021984-A - Intelligent management system and method for charging station

CN122021984ACN 122021984 ACN122021984 ACN 122021984ACN-122021984-A

Abstract

The application relates to the technical field of charging station management, and discloses an intelligent charging station management system and method, comprising a charging station module, a user module and a charging station recommendation module, the charging station module and the user module are both in communication connection with the charging station recommendation module, the charging station module is in communication connection with the user module, and the method corresponds to the system. According to the application, the real-time acquisition and maintenance of the charging station information are realized through the charging station module, the real-time acquisition and maintenance of the user information are realized through the user module, the data base and the position reference are provided for optimizing the recommendation scheme and improving the charging station utilization rate, and the optimization recommendation scheme and improving the charging station utilization rate are realized through the charging station recommendation module. Finally, comprehensive management of the charging stations is achieved, and a charging station recommendation scheme is optimized to improve the charging station utilization rate.

Inventors

YANG TAORAN
YE XIN

Assignees

广州冠廷机电设备有限公司

Dates

Publication Date: 20260512
Application Date: 20251126

Claims (10)

1. An intelligent management system of a charging station, which is characterized in that the system comprises: a charging station module configured to store charging station information including business information of the charging station, in-station device information of the charging station, personal information of a user of the charging station, and staff information of staff of the charging station; the user module is configured to collect personal information of a user, wherein the personal information comprises account information of the user and position information of the user; the charging station recommending module is configured to recommend corresponding charging stations to users based on the charging station information stored by the charging station module and the personal information collected by the user module; The charging station module and the user module are both in communication connection with the charging station recommendation module, and the charging station module is in communication connection with the user module.
2. The charging station intelligent management system of claim 1, wherein the charging station module comprises a charging stake unit, a charging gun unit, a business unit, a user unit, and an employee unit; the charging pile unit is configured to collect information of each charging pile in the charging station and manage each charging pile; the charging gun unit is configured to collect information of each charging gun on the charging pile and manage each charging gun; The service unit is configured to manage a service order received by the charging station, wherein the service order comprises a reservation service, an ongoing service and a completion service; the user unit is configured to receive the personal information collected by the user module and manage each user; The staff unit is configured to collect the staff information and manage each staff.
3. The charging station intelligent management system of claim 2, wherein the charging station module is further configured to determine a low utilization charging station of each charging station, comprising: Charging station utilization rate is calculated based on the total normal operation time length T i of each charging pile in the charging station collected by the charging pile unit in the checking period and the total charging time length T i of each charging pile in the charging station in the checking period , , wherein, The sum of the total time length of normal operation of each charging pile in the charging station in the checking period is given, The sum of the total charging time length of each charging pile in the charging station in the checking period is calculated, Numbering each charging pile; Presetting a charging station utilization threshold When (when) When the charging pile unit acquires real-time state information, the charging pile unit determines that the charging station has available charging piles currently, and the charging pile unit acquires real-time state information The corresponding charging station is determined to be a priority recommendation charging station, a priority recommendation charging station list is generated, and the priority recommendation charging station list is uploaded to the charging station recommendation module.
4. The intelligent charging station management system of claim 3, wherein the charging station recommendation module comprises a quasi-centralization unit, a recommendation information generation unit and a charging station information storage unit; The charging station information storage unit is configured to store the priority recommended charging station list and each charging station information; The quasi-centering unit is configured to generate a motion track of a user based on the historical position information of the user acquired by the user module, define a process of acquiring the relative center of the motion track as quasi-centering, and perform quasi-centering on the motion track; The recommendation information generation unit is configured to determine charging stations which can be recommended to the user based on the relative center, judge whether the charging stations which can be recommended to the user comprise the priority recommendation charging stations, if so, preferentially recommend the priority recommendation charging stations to the user, otherwise, do not need to conduct priority recommendation.
5. The charging station intelligent management system of claim 4, wherein the quasi-centralization specifically comprises the steps of: p1, acquiring a motion trail, calculating the distance of the motion trail, and splitting the motion trail into parts based on the distance The length of the segment is defined by, And each section has equal distance, at this time, the motion trail has A plurality of nodes; P2: Any one node in the individual nodes is determined as a reference node, and the node and the rest nodes are determined The nodes are connected by straight lines; p3, correspondingly taking the midpoints of the straight lines of each section and connecting the straight lines in sequence; p4, taking the midpoint of the midpoint connecting line and connecting the midpoint again by using a straight line, judging whether only one section of midpoint connecting line remains, if so, executing the step P5, otherwise, repeatedly executing the step P6; p5, defining the midpoint of the midpoint connecting line of the left segment as a relative center; And P6, presetting a midpoint connecting threshold, judging whether the midpoint connecting length is smaller than or equal to the midpoint connecting threshold, if so, defining the intersection point of midpoint diagonal lines as a relative center, otherwise, repeatedly executing the step P4.
6. The charging station intelligent management system according to claim 5, wherein the recommendation information generation unit specifically performs the steps of: m1, presetting a recommended distance floating interval, taking the relative center as a circle center, making a circle with the recommended distance as a radius, and defining the circle as a recommended area; M2, determining the charging stations in the recommendation area as charging stations capable of being recommended to the user, judging whether the charging stations capable of being recommended to the user comprise the priority recommendation charging stations or not, if yes, executing a step M3, otherwise, executing a step M4; m3, placing the priority recommendation charging station information in the first position of charging station information which can be recommended to a user; And M4, calculating the linear distance between the charging station which can be recommended to the user and the relative center, and recommending the charging station to the user after the linear distances are arranged in sequence from small to large.
7. The intelligent charging station management system according to claim 6, wherein the preset recommended distance floating zone specifically comprises: respectively calculating the linear distances between the relative center and the n+1 nodes, taking the maximum value, and determining the maximum value as the shortest recommended distance; Taking the relative center as a circle center, taking the shortest recommended distance as a radius to make a circle, judging whether a charging station exists in the area where the circle exists, if so, directly adopting the shortest recommended distance, otherwise, calculating an optimized recommended distance , , wherein, Are respectively with the opposite centers The maximum value of the straight line distance between the individual nodes, For the course of the motion profile, In order to split the motion profile into a number of segments, In order to optimize the recommended distance parameter, ; Control of Until a circle is made with the relative center as the center and the optimal recommended distance as the radius, and charging stations are arranged in the circle.
8. The charging station intelligent management system of claim 1, wherein the user module comprises a base information unit and a real-time information acquisition unit; the basic information unit is configured to store personal information of a user; the real-time information acquisition unit is configured to acquire real-time location information and payment information of a user.
9. A charging station intelligent management method, applicable to the charging station intelligent management system as claimed in any one of claims 1 to 8, comprising the following steps: S1, acquiring business information, in-station equipment information, user personal information and staff information of a charging station; s2, acquiring account information position information of a user; S3, defining a charging station with the utilization rate lower than a preset utilization rate threshold value in an assessment period and currently available charging piles as a priority recommendation charging station, and determining the priority recommendation charging station; s4, generating a motion trail of the user based on the historical position information of the user; s5, defining a process of obtaining the relative center of the motion trail as quasi-centering, and carrying out quasi-centering on the motion trail; and S6, recommending corresponding charging stations to the user based on the relative center of the movement track, and recommending the preferentially recommended charging stations preferentially.
10. The charging station intelligent management method according to claim 9, wherein the quasi-centralization specifically comprises the steps of: p1, acquiring a motion trail, calculating the distance of the motion trail, and splitting the motion trail into parts based on the distance The length of the segment is defined by, And each section has equal distance, at this time, the motion trail has A plurality of nodes; P2: Any one node in the individual nodes is determined as a reference node, and the node and the rest nodes are determined The nodes are connected by straight lines; p3, correspondingly taking the midpoints of the straight lines of each section and connecting the straight lines in sequence; p4, taking the midpoint of the midpoint connecting line and connecting the midpoint again by using a straight line, judging whether only one section of midpoint connecting line remains, if so, executing the step P5, otherwise, repeatedly executing the step P6; p5, defining the midpoint of the midpoint connecting line of the left segment as a relative center; And P6, presetting a midpoint connecting threshold, judging whether the midpoint connecting length is smaller than or equal to the midpoint connecting threshold, if so, defining the intersection point of midpoint diagonal lines as a relative center, otherwise, repeatedly executing the step P4.

Description

Intelligent management system and method for charging station Technical Field The application relates to the technical field of charging station management, in particular to an intelligent charging station management system and method. Background With the enhancement of social environmental awareness and the development of electric vehicles, electric vehicles have become one of the main choices for people to travel. In order to solve the charging problem of electric vehicles, charging stations based on charging piles are also included in the range of urban planning. But is limited by the available space of the city, and part of charging stations are arranged at a position far away from the city, so that the problem that the charging stations in the city are tense and the charging stations far away from the city are idle is generated. In the prior art, the point position information when the user sends out the charging demand is used for recommending the charging station to the user, and the mode limits the selection of the user, so that the user is not facilitated to make more optimal selection. In summary, the prior art lacks a technical solution for comprehensively managing charging stations and optimizing charging station recommendations. Disclosure of Invention The application aims to provide an intelligent management system and method for a charging station, which are used for solving the technical problems in the background technology. In order to achieve the above purpose, the present application discloses the following technical solutions: in a first aspect, the application discloses an intelligent charging station management system, which comprises: a charging station module configured to store charging station information including business information of the charging station, in-station device information of the charging station, personal information of a user of the charging station, and staff information of staff of the charging station; the user module is configured to collect personal information of a user, wherein the personal information comprises account information of the user and position information of the user; the charging station recommending module is configured to recommend corresponding charging stations to users based on the charging station information stored by the charging station module and the personal information collected by the user module; The charging station module and the user module are both in communication connection with the charging station recommendation module, and the charging station module is in communication connection with the user module. By means of the charging station information real-time acquisition and maintenance method, the charging station information real-time acquisition and maintenance are achieved through the charging station module, a data basis is provided for optimizing a recommendation scheme and improving the charging station utilization rate, the user information real-time acquisition and maintenance are achieved through the user module, a position reference is provided for optimizing the recommendation scheme and improving the charging station utilization rate, and the optimization recommendation scheme and improving the charging station utilization rate are achieved through the charging station recommendation module. Optionally, the charging station module includes a charging pile unit, a charging gun unit, a service unit, a user unit and an employee unit; the charging pile unit is configured to collect information of each charging pile in the charging station and manage each charging pile; the charging gun unit is configured to collect information of each charging gun on the charging pile and manage each charging gun; The service unit is configured to manage a service order received by the charging station, wherein the service order comprises a reservation service, an ongoing service and a completion service; the user unit is configured to receive the personal information collected by the user module and manage each user; The staff unit is configured to collect the staff information and manage each staff. By means of the charging pile information real-time collection and maintenance method, the charging pile information is collected and maintained in real time through the charging gun unit, the charging gun information is collected and maintained in real time through the service unit, the service information is collected and maintained in real time through the user unit, the personal information of the user is collected and maintained in real time through the user unit, the staff information of staff is collected and maintained in real time through the staff unit, and staff authority management is achieved. Optionally, the charging station module is further configured to determine a charging station with a low utilization rate in each charging station, and specifically includes: Charging station utilization rate is calculated based o