Charging pile intelligent scheduling system and method

Abstract

The invention provides a charging pile intelligent scheduling system and method, and the system comprises a user management module, a charging pile management module, a real-time monitoring module, an intelligent scheduling module, a data analysis and report module and a system management module, and has the technical characteristics of intelligent scheduling, real-time monitoring, user friendliness, data analysis and optimization and the like. By reasonably dispatching the charging piles, the utilization rate of the charging piles is improved, the waiting time of users is shortened, and intelligent distribution of the charging piles is performed according to user demands and prediction data. The charging piles are intelligently dispatched according to the user requirements and the real-time data, so that the maximum charging pile utilization rate and the maximum user satisfaction degree are achieved. The system analyzes and optimizes data such as user requirements and charging pile states, provides a reasonable charging pile scheduling scheme, can perform real-time adjustment according to data changes, and improves the flexibility and adaptability of the system.

Description

Technical Field

[0001] The present invention belongs to the technical field of intelligent charging, and relates to an intelligent dispatching system and method for charging piles. Background Art

[0002] As the popularity of electric vehicles continues to rise, the demand for charging piles, as key infrastructure for electric vehicle energy supply, is indeed growing. However, in practical applications, the field of charging piles has exposed a series of problems that need to be solved urgently: Uneven distribution: The geographical distribution of charging piles is uneven. Charging piles are relatively concentrated in some large cities or busy areas, while charging piles are seriously insufficient in remote areas, rural areas or urban fringe areas. This imbalance causes electric vehicle users to face the problem of "difficulty in finding charging piles" when using them, especially when traveling long distances or driving across regions. The scarcity of charging piles has become a major bottleneck restricting the popularization of electric vehicles.

[0003] Low utilization rate: Although the number of charging piles is increasing, the utilization rate of some charging piles is not high. This may be due to the remote location of the charging piles, untimely information updates, inaccurate user navigation, etc. In addition, the design and management of charging stations may also affect the utilization rate. For example, the charging parking spaces are occupied by fuel vehicles and charging equipment malfunctions frequently, which reduce the effective use efficiency of charging piles.

[0004] Long waiting time for users: In areas where charging piles are concentrated, especially during peak hours, electric vehicle users often need to queue up to charge, which not only prolongs the user's travel time, but also affects the user's charging experience. For operating vehicles such as taxis and online ride-hailing vehicles that need to be recharged quickly, long waiting times may directly affect their operating efficiency.

[0005] Inconsistent technical standards: There may be compatibility issues between electric vehicles and charging piles of different brands and models, causing users to encounter problems such as slow charging speed and charging interruption when using non-original charging piles. This not only affects the user's charging experience, but also increases the operator's maintenance costs.

[0006] Insufficient intelligent management: The current intelligent management level of charging piles is uneven. Some charging piles lack functions such as real-time status monitoring, scheduled charging, and intelligent scheduling, resulting in unreasonable resource allocation and poor user experience.

[0007] High investment and operation costs: The construction and operation costs of charging piles are relatively high, including land leasing, equipment procurement, power access, operation and maintenance management, etc., which poses a challenge to the financial affordability of operators. At the same time, due to the low utilization rate of charging piles and the long investment return cycle, it also affects the enthusiasm of social capital to enter the field of charging pile construction.

[0008] However, problems such as uneven distribution of charging piles, low utilization, and long waiting times for users have gradually emerged. Summary of the invention

[0009] In view of the problems existing in the prior art, the present invention provides a charging pile intelligent scheduling system and method, which reasonably schedules the charging piles, improves the utilization rate of the charging piles, reduces the user waiting time, and intelligently allocates the charging piles according to user needs and predicted data.

[0010] The present invention is achieved through the following technical solutions: A charging pile intelligent dispatching system, comprising a user management module, a charging pile management module, a real-time monitoring module, an intelligent dispatching module, a data analysis and reporting module, and a system management module; The real-time monitoring module is connected to the charging pile and is used to monitor the status of the charging pile in real time, obtain data information of the charging pile in real time, and report the data information to the charging pile management module. The user management module is used to obtain the user's account information, the model of the electric vehicle and the battery capacity, and provide the data analysis and reporting module with charging requirements according to the user; The charging pile management module is used to obtain the location, number, model and power status information of the charging pile, as well as record the historical usage and fault records of the charging pile, and feed it back to the data analysis and reporting module; The data analysis and reporting module analyzes and optimizes the charging needs of users and the real-time status data information of the charging piles, provides a charging pile scheduling plan, and feeds back to the intelligent scheduling module; The intelligent scheduling module intelligently schedules the charging piles to allocate charging resources according to the real-time status of the charging piles and user needs; the intelligent scheduling module can also predict user needs through data analysis and algorithms. Users can make reservations for charging piles in advance, and charging piles are allocated to users in advance, shortening user waiting time.

[0011] Preferably, it also includes a system management module for collecting and managing user information of the user management module and charging pile information of the charging pile management module, and managing user permissions, system configuration and log records.

[0012] Preferably, the user management module is used to support user registration, login, password retrieval, personal information management functions and provide multiple recharge methods; Preferably, the state of the charging pile includes an idle state, a charging state and a fault state; Preferably, the real-time monitoring module enables an administrator to view the usage of charging piles in real time, including the number of charging piles in use and the number of users waiting for charging.

[0013] Preferably, the intelligent scheduling module also considers the location of the charging piles and the load factors of the charging piles, and reasonably arranges the order of use of the charging piles.

[0014] Preferably, the data analysis and reporting module is also used to collect and analyze charging pile usage data, including the number of charging times, charging time and charging amount, and generate various reports and charts to provide decision support for operators.

[0015] Preferably, the real-time monitoring module monitors the status of the charging pile and provides corresponding alarm and processing mechanisms if a fault or offline state occurs.

[0016] Preferably, the charging pile intelligent scheduling system includes a client and a server; The client includes a user inputting personal information, vehicle information, battery capacity and card information; The server includes an operator account to input charging pile information.

[0017] A charging pile intelligent scheduling method, comprising: Obtain the user's charging needs, including charging time, charging amount, and whether a reservation has been made; Obtain the real-time status of charging piles, including idle piles, charging piles, and faulty piles, and obtain the specific location and power of the charging piles; Based on user needs and the real-time status of charging piles, the algorithm shows users the information about available charging piles and reservable charging piles, including the geographical location of the charging piles, estimated arrival time, and charging speed; After the user inputs the charging pile plan, intelligent matching and scheduling are carried out according to the user's charging needs and the real-time status of the charging pile. If a suitable charging pile is found, the system will send the reservation information to the charging pile server for confirmation. After receiving the reservation confirmation request, the charging pile server will check whether the status of the charging pile meets the reservation conditions; If the conditions are met, the reservation is confirmed and the status of the charging station is updated to "reserved"; At the same time, the charging pile service end will feedback the reservation result to the user.

[0018] Compared with the prior art, the present invention has the following beneficial technical effects: The present invention proposes a charging pile intelligent scheduling system, which includes a user management module, a charging pile management module, a real-time monitoring module, an intelligent scheduling module, a data analysis and reporting module, and a system management module, and has technical characteristics such as intelligent scheduling, real-time monitoring, user-friendliness, and data analysis and optimization. By reasonably scheduling charging piles, the utilization rate of charging piles is improved, the user waiting time is reduced, and the charging piles are intelligently allocated according to user needs and predicted data. Charging piles are intelligently scheduled according to user needs and real-time data to achieve maximum charging pile utilization and user satisfaction. The system provides a reasonable charging pile scheduling plan by analyzing and optimizing data such as user needs and charging pile status, and can make real-time adjustments according to changes in data to improve the flexibility and adaptability of the system.

[0019] Furthermore, the system provides convenient user registration, login, recharge, query and other functions to optimize the user experience.

[0020] Furthermore, the system has the ability to monitor the status of the charging pile in real time, including power level, charging status, fault alarm, etc. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 This is the flow chart of the intelligent dispatching system for charging piles; Figure 2 It is the block diagram of the user management module; Figure 3 This is the block diagram of the charging pile management module; Figure 4 This is the block diagram of the real-time monitoring module; Figure 5 This is the flow chart of the intelligent scheduling module; Figure 6 It is the flow chart of data analysis and reporting module; Figure 7 This is the block diagram of the system management module. DETAILED DESCRIPTION

[0022] The present invention is further described in detail below in conjunction with specific embodiments, which are intended to explain the present invention rather than to limit it.

[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] The present invention proposes a charging pile intelligent scheduling system, which can improve the utilization rate of charging piles and user experience satisfaction, including: Figure 1 As shown, user management module, charging pile management module, real-time monitoring module, intelligent scheduling module, data analysis and reporting module, system management module; One end of the user management module is connected to the system management module, and the other end of the user management module is connected to one end of the data analysis and reporting module; the other end of the data analysis and reporting module is connected to the intelligent scheduling module; one side of the charging pile management module is connected to the system management module, and the other side of the charging pile management module is connected to the data analysis and reporting module; one end of the real-time monitoring module is connected to the charging pile, and the other end of the real-time monitoring module is connected to the charging pile management module; like Figure 2 As shown in the figure, the user management module supports functions such as user registration, login, password retrieval, and personal information management. At the same time, it provides a variety of recharge methods to facilitate users to recharge their accounts at any time. Users can register an account using their mobile phone number and submit information such as the model and battery capacity of the electric vehicle so that the system can provide intelligent scheduling solutions based on user needs and real-time data.

[0025] like Figure 3 As shown in the figure, the charging pile management module: the administrator can enter the location, number, model, power and other information of the charging pile. The real-time monitoring module connects to the charging pile and monitors the status of the charging pile in real time, including idle, charging and fault. At the same time, the system will record the historical usage and fault records of the charging pile for subsequent analysis and maintenance.

[0026] like Figure 4 As shown in the figure, real-time monitoring module: users monitor charging piles and charging status. Administrators can view the usage of charging piles in real time, including the number of charging piles in use, the number of users waiting to charge, etc. At the same time, the real-time monitoring module can also monitor the status of charging piles, such as failure, offline, etc., and provide corresponding alarm and processing mechanisms.

[0027] like Figure 5 As shown in the figure, the intelligent scheduling module: intelligently allocates charging resources according to the real-time status of the charging piles and user needs. It supports the reservation charging function, and users can make reservations for charging piles in advance to avoid waiting in line. The intelligent scheduling module predicts user needs through data analysis and algorithms, allocates charging piles in advance, and shortens user waiting time. At the same time, the module can also consider factors such as the location of the charging piles and the load of the charging piles, and reasonably arrange the order of use of the charging piles to reduce congestion and waiting time of the charging piles.

[0028] like Figure 6As shown, data analysis and reporting module: collects and analyzes charging pile usage data, including charging times, charging time, charging amount, etc. Generates various reports and charts to provide decision support for operators.

[0029] like Figure 7 As shown, the system management module manages user permissions, system configuration, log records, etc. to ensure the security and stability of the system.

[0030] A charging pile intelligent scheduling method, comprising: Obtain the user's charging needs, including charging time, charging amount, and whether a reservation has been made; Get the real-time status of charging piles, including idle piles, charging piles, and faulty piles, and get the specific location and power of the charging piles Based on user needs and the real-time status of charging piles, the algorithm displays information about available charging piles and reservable charging piles to users, including the geographical location of the charging piles, estimated arrival time, and charging speed. After the user inputs the charging pile plan through the client, intelligent matching and scheduling are carried out according to the user's charging needs and the real-time status of the charging pile. If a suitable charging pile is found, the system will send the reservation information to the charging pile server for confirmation. After receiving the reservation confirmation request, the charging pile server will check whether the status of the charging pile meets the reservation conditions; If the conditions are met, the reservation is confirmed and the status of the charging station is updated to "reserved"; At the same time, the server will also feedback the reservation results to the client.

[0031] Example 1 Step 1: Build an intelligent scheduling system framework When initially building an intelligent dispatching system, it is necessary to ensure that each module can operate independently and collaborate efficiently. The specific details are as follows: User management module: design functions such as user registration, login, personal information management (including name, contact information, vehicle type, license plate number, battery model and capacity, etc.), account security and authority management, etc.

[0032] Charging pile management module: realizes functions such as charging pile registration, location marking, status monitoring (idle, in use, fault, etc.), power and type recording, and supports remote control and configuration updates.

[0033] Real-time monitoring module: Integrates Internet of Things technology to collect the working status, current and voltage data, charging progress, etc. of the charging pile in real time, while monitoring abnormal conditions during the charging process, such as overheating, short circuit, etc.

[0034] Intelligent scheduling module: Based on big data and AI algorithms, it intelligently allocates optimal charging resources according to factors such as user demand, charging pile status, and grid load.

[0035] Automatic analysis and reporting module: automatically summarizes charging data, user behavior analysis, charging pile efficiency evaluation, etc., generates visual reports, and supports custom report export.

[0036] System management module: covers log management, system backup and recovery, permission allocation, security audit and other functions to ensure stable system operation and data security.

[0037] Step 2: System architecture design and implementation Client: Design a user-friendly interface that supports multiple platforms (such as iOS, Android, and Web), where users can enter personal information, vehicle details, charging preferences, etc. At the same time, it provides functions such as charging station navigation, charging reservations, and payment settlement.

[0038] Server: Build a high-performance backend service through which operators can input charging pile information, manage charging station layout, monitor charging activities, process user feedback, etc. The server also needs to be integrated with the payment system and third-party map services to provide comprehensive service support.

[0039] Step 3: Demand matching and resource scheduling The user management module collects users’ specific charging requirements, such as expected charging time, charging amount, whether to accept price adjustments, etc.

[0040] Using the data from the charging pile management module and the real-time monitoring module, the availability of the charging pile, the estimated waiting time, the charging speed and other information are updated in real time.

[0041] Develop an intelligent recommendation algorithm that comprehensively considers factors such as user preferences, charging station status, traffic conditions, etc., to provide users with the best charging plan and support reservation function.

[0042] Step 4: Smart booking and execution The intelligent scheduling module receives the user's charging plan, automatically matches the most suitable charging station, and sends a reservation confirmation to the user.

[0043] After the reservation is successful, the system monitors the status of the charging pile during the reservation period to ensure that the charging pile is available when the user arrives. If there is a change (such as a charging pile failure), the system automatically notifies the user and provides an alternative. Supports QR code scanning or NFC technology to simplify the on-site confirmation process and improve user experience.

[0044] Step 5: Operational data analysis and optimization The analysis and reporting module uses machine learning algorithms to deeply mine charging data, identify peak charging periods, inefficient charging piles, user behavior patterns, etc., and provide decision support for operators.

[0045] Generate detailed operation reports, including electricity cost analysis, charging pile utilization, customer satisfaction survey, etc., to help operators optimize charging station layout, adjust pricing strategies, and improve service quality.

[0046] Regularly check system performance and perform iterative upgrades based on feedback to ensure that the system always serves users and operators efficiently and stably.

[0047] 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.

[0048] It should be noted that when a component is referred to as being "fixed to" another component, it may be directly on the other component or there may be a central component. When a component is considered to be "connected to" another component, it may be directly connected to the other component or there may be a central component at the same time. When a component is considered to be "set on" another component, it may be directly set on the other component or there may be a central component at the same time.

[0049] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art to which the present invention belongs. The terms used herein in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. The term "and / or" used herein includes any and all combinations of one or more of the related listed items.

[0050] The above description is only a preferred embodiment of the present invention and does not limit the present invention in any form. Any ordinary technician in the industry can smoothly implement the present invention as shown in the drawings and described above. However, any equivalent changes, modifications and evolutions made by technicians familiar with the profession without departing from the scope of the technical solution of the present invention using the technical content disclosed above are all equivalent embodiments of the present invention. At the same time, any equivalent changes, modifications and evolutions made to the above embodiments based on the essential technology of the present invention are still within the protection scope of the technical solution of the present invention.

Claims

1. A charging pile intelligent dispatching system, characterized in that: include, User management module, charging pile management module, real-time monitoring module, intelligent scheduling module, and data analysis and reporting module; The real-time monitoring module is connected to the charging pile, and is used to monitor the status of the charging pile in real time, obtain data information of the charging pile in real time, and report the data information to the charging pile management module; The user management module is used to obtain the user's account information, the model of the electric vehicle and the battery capacity, and provide the data analysis and reporting module with charging requirements according to the user; The charging pile management module is used to obtain the location, number, model and power status information of the charging pile, as well as record the historical usage and fault records of the charging pile, and feed it back to the data analysis and reporting module; The data analysis and reporting module analyzes and optimizes the charging needs of users and the real-time status data information of the charging piles, provides a charging pile scheduling plan, and feeds back to the intelligent scheduling module; The intelligent scheduling module intelligently schedules the charging piles to allocate charging resources according to the real-time status of the charging piles and user needs; the intelligent scheduling module can also predict user needs through data analysis and algorithms. Users can make reservations for charging piles in advance, and charging piles are allocated to users in advance, shortening user waiting time.

2. The intelligent dispatching system for charging piles according to claim 1, characterized in that: It also includes a system management module, which is used to collect and manage user information of the user management module and charging pile information of the charging pile management module, and manage user permissions, system configuration and log records.

3. The intelligent dispatching system for charging piles according to claim 1, characterized in that: The user management module is used to support user registration, login, password retrieval, personal information management functions and provide multiple recharge methods.

4. The intelligent dispatching system for charging piles according to claim 1, characterized in that: The status of the charging pile includes an idle state, a charging state and a fault state.

5. The charging pile intelligent dispatching system according to claim 1, characterized in that: The real-time monitoring module allows the administrator to view the usage of the charging piles in real time, including the number of charging piles in use and the number of users waiting for charging.

6. The intelligent dispatching system for charging piles according to claim 1, characterized in that: The intelligent scheduling module also considers the location of the charging piles and the load factors of the charging piles, and reasonably arranges the order of use of the charging piles.

7. The intelligent dispatching system for charging piles according to claim 1, characterized in that: The data analysis and reporting module is also used to collect and analyze charging pile usage data, including the number of charging times, charging time, and charging amount, and generate various reports and charts to provide decision support for operators.

8. The intelligent dispatching system for charging piles according to claim 1, characterized in that: The real-time monitoring module monitors the status of the charging pile and provides corresponding alarm and processing mechanisms if there is a fault or offline status.

9. The charging pile intelligent dispatching system according to claim 1, characterized in that: The charging pile intelligent dispatching system includes a client and a server; The client includes a user inputting personal information, vehicle information, battery capacity and card information; The server includes an operator account to input charging pile information.

10. A charging pile intelligent scheduling method, based on the charging pile intelligent scheduling system according to any one of claims 1 to 9, characterized in that: include, Obtain the user's charging needs, including charging time, charging amount, and whether a reservation has been made; Obtain the real-time status of charging piles, including idle piles, charging piles, and faulty piles, and obtain the specific location and power of the charging piles; Based on user needs and the real-time status of charging piles, the algorithm shows users the information about available charging piles and reservable charging piles, including the geographical location of the charging piles, estimated arrival time, and charging speed; After the user inputs the charging pile plan, intelligent matching and scheduling are carried out according to the user's charging needs and the real-time status of the charging pile. If a suitable charging pile is found, the system will send the reservation information to the charging pile server for confirmation. After receiving the reservation confirmation request, the charging pile server will check whether the status of the charging pile meets the reservation conditions; If the conditions are met, the reservation is confirmed and the status of the charging station is updated to "reserved"; At the same time, the charging pile service end will feedback the reservation result to the user.

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