Electric vehicle charging management system

Abstract

The present invention discloses an electric vehicle charging management system, which specifically relates to the technical field of charging management, and includes a positioning identification module, a communication verification module, a process monitoring module, and an alarm notification module. The positioning identification module authenticates the identity of the user who charges the electric bicycle, sets a virtual geographic fence, and collects the location information of the electric bicycle. The communication verification module verifies the location information of the electric bicycle. The process monitoring module monitors the charging position status of the electric vehicle and detects the position change of the electric bicycle. The alarm notification module analyzes the charging status of the electric bicycle. When an abnormal moving state is detected, the electric vehicle charging management system automatically stops charging and issues an alarm to notify users and managers, which can effectively improve the safety level of the residential area overhead layer and solve the governance problem between electric vehicle users and property management.

Description

Technical Field

[0001] The present invention relates to the technical field of charging management, and more specifically, to an electric vehicle charging management system. Background Art

[0002] Charging facilities for electric bicycles are usually installed outside the first-floor overhead layer of community buildings because there is a risk of overheating or fire of the battery during charging. This can reduce the direct threat of fire to the building and reduce the risk of fire spread. However, the space outside the overhead layer adjacent to the building area is limited and is usually used as a public activity space. It may not be possible to install a protective roof. The open design is conducive to air circulation and equipment heat dissipation, reducing the risk of overheating when charging electric vehicles. Some users, for the sake of rain and sun protection, privately use power strips or adapters to move electric bicycles to the overhead layer for charging. This may cause overload short circuits and cause electrical fires. At the same time, it causes potential conflicts between owners and owners, and between owners and property managers. Wires exposed to the outdoors for a long time are prone to aging and wear, increasing the risk of electrical failures. Charging under the overhead layer may also occupy emergency passages, affecting escape and rescue in emergency situations. Therefore, adding vehicle positioning information to the electric vehicle charging management system for auxiliary charging management has become a new demand.

[0003] In order to solve the above defects, a technical solution is now proposed. Summary of the invention

[0004] The purpose of the present invention is to provide an electric vehicle charging management system to solve the problems in the above-mentioned background technology.

[0005] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: an electric vehicle charging management system, comprising a positioning identification module, a communication verification module, a process monitoring module, and an alarm notification module;

[0006] The positioning and identification module is used to authenticate the user who is charging the electric bicycle, set up a virtual geographic fence, and collect the location information of the electric bicycle;

[0007] The communication verification module is used to verify the location information of the electric bicycle according to the preset virtual geo-fence. When the electric bicycle is in a safe charging position, the electric vehicle charging management system authorizes the charging pile to be powered on;

[0008] The process monitoring module is used to monitor the charging position status of the electric vehicle and detect the position change of the electric bicycle;

[0009] The alarm notification module is used to analyze the charging status of electric bicycles. When an abnormal movement state is detected, the electric vehicle charging management system automatically stops charging and issues an alarm to notify users and managers.

[0010] Preferably, the method for authenticating the user who charges the electric bicycle includes:

[0011] The user's identity verification information is verified through sensors. There are many ways to verify identity, including biometric verification and tag verification.

[0012] Biometric verification includes face recognition and fingerprint recognition. The charging pile is equipped with a camera. The user inputs face information through the camera. The electric vehicle charging management system compares the collected face image with the pre-stored face data in the database. When the verification is passed, the charging pile is powered on. Fingerprint recognition is achieved by entering the fingerprint on the charging pile. The electric vehicle charging management system reads the collected fingerprint and compares it with the fingerprint information in the database. When the verification is passed, the charging pile is powered on.

[0013] Tag identification includes IC card identification, RFID identification, and barcode identification. IC card identification is based on the user holding an IC card with a unique identification code swiping the card on the card reader of the charging pile or charging management system. The electric vehicle charging management system reads the identification code of the IC card and compares it with the authorized user information in the database. When the verification is passed, the charging pile is powered on. RFID identification is through the user holding a card or device with an RFID tag and scanning it with the RFID reader equipped on the charging pile to read the RFID tag information. The electric vehicle charging management system compares the read RFID information with the authorization information in the database. When the verification is passed, the charging pile is powered on. Barcodes include barcodes and QR codes. Barcode identification is that the user generates a unique barcode or QR code through the mobile App of the electric vehicle charging management system, and scans the barcode or QR code on the scanning device of the charging pile. The electric vehicle charging management system verifies the user information through the Internet. When the verification is passed, the charging pile is powered on.

[0014] Preferably, the method for verifying the location information of the electric bicycle according to the preset virtual geographic fence is:

[0015] GPS modules and RFID tags are installed on electric bicycles, and RFID readers are installed in the charging pile area. The RFID readers cover all charging pile locations. The local server of the electric vehicle charging management system collects the location signals of the electric bicycles and processes the data centrally.

[0016] Preferably, the logic for acquiring the location information of the electric vehicle is:

[0017] The GPS module of the electric bicycle obtains the location signal of the electric bicycle inside the community and sends it to the local server of the electric vehicle charging management system;

[0018] When an electric bicycle enters the charging area, the RFID tag on the electric bicycle is read by the RFID reader in the electric vehicle charging station area;

[0019] After the local server collects GPS and RFID data, it performs location data fusion processing to obtain the real-time location of the electric bicycle and determines whether the electric bicycle is in the designated charging area through the virtual geographic fence.

[0020] Preferably, according to the collected GPS and RFID data, the process of the local server performing location data fusion processing is as follows:

[0021] The local server collects the latitude, longitude, altitude, and timestamp data sent by the GPS module. When the electric bicycle enters the coverage area of ​​the RFID reader, the RFID tag is activated, and the local server collects the unique identification code and timestamp data sent by the RFID reader;

[0022] Use filtering algorithms to filter GPS data, remove abnormal data, confirm the signal strength of the RFID reader, evaluate the distance from the RFID tag to the reader, remove duplicate readings, and retain one reading within the cycle time window of RFID identification;

[0023] The data fusion algorithm is used to calculate the position information. If the detected position signal has a jump, the previous position signal without a jump is used for correction.

[0024] Preferably, the method of calculating the position information using the data fusion algorithm includes:

[0025] The weighted average method combines GPS data and RFID data through weighted calculation. The calculation method is: , where LS is the fusion position, GL is the GPS position, and RL is the RFID position. is a weighting factor controlled by signal quality;

[0026] Particle filter method, through the particle filter to fuse GPS data and RFID data, the state vector of the electric bicycle position is taken as , GPS data is , RFID data is , then the state vector is described from Time has come The change of time is , where is the state transfer function, is process noise, describing the relationship between the observation value and the state vector as and , where and are the observation functions of GPS and RFID respectively, and are the observation noises of GPS and RFID, respectively;

[0027] Particle initialization, at the initial moment , generate N particles , the particle weight is ;

[0028] According to the state transfer model, the particle set at the previous moment Sampling generates particles at the current moment ;

[0029] According to the observation value at the current moment, the weight of each particle is updated as ,in, and is the observation probability;

[0030] The normalized weights of all particles are , where j is the index of all particles, ranging from 1 to N.

[0031] Preferably, the determination and processing method for abnormal movement is:

[0032] When an electric bicycle being charged leaves the safe charging area and enters the overhead layer of a building, charging will automatically stop and a warning signal will be sent to the user and manager, alerting them that the electric bicycle has moved and there is a risk.

[0033] In the above technical solution, the technical effects and advantages provided by the present invention are:

[0034] This application combines GPS data and RFID data to integrate the charging location information of electric vehicles, thereby improving the accuracy and reliability of electric vehicle location signals and monitoring the displacement of electric vehicles during charging. When an electric vehicle during charging shifts its location to the overhead layer of a building, the electric vehicle charging management system automatically stops charging the electric vehicle to avoid overheating, explosion or fire caused by charging failures in the charging electric vehicle, effectively improving the safety level of the residential area overhead layer, solving the governance problems between electric vehicle users and property management, and improving the level of charging control management. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0036] Figure 1 It is a system module diagram of the present invention. DETAILED DESCRIPTION

[0037] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions 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 are within the scope of protection of the present invention.

[0038] Example 1: Please refer to Figure 1 As shown, the present invention is an electric vehicle charging management system, including a positioning identification module, a communication verification module, a process monitoring module, and an alarm notification module;

[0039] The positioning and identification module is used to authenticate the user who is charging the electric bicycle, set up a virtual geographic fence, and collect the location information of the electric bicycle;

[0040] The communication verification module is used to verify the location information of the electric bicycle according to the preset virtual geo-fence. When the electric bicycle is in a safe charging position, the electric vehicle charging management system authorizes the charging pile to be powered on;

[0041] The process monitoring module is used to monitor the charging position status of electric vehicles and detect the position changes of electric bicycles.

[0042] The alarm notification module is used to analyze the charging status of electric bicycles. When an abnormal movement state is detected, the electric vehicle charging management system automatically stops charging and issues an alarm to notify users and managers.

[0043] Electric bicycle charging facilities are usually set up outside the overhead layer on the first floor of residential buildings. Because the battery of electric bicycles has the risk of overheating or catching fire during the charging process, setting up charging facilities outside the overhead layer can reduce the direct threat of fire to the building and reduce the risk of fire spreading. The ventilation conditions outside the overhead layer are usually better, which helps to dissipate heat and reduce the possibility of battery overheating during charging, thereby improving charging safety.

[0044] However, the first-floor overhead space of some community buildings is limited and is usually used as a public activity space, so it is impossible to install a protective roof. Although the protective shed can prevent rain and sun, it may also lead to poor ventilation, especially in the high temperature of summer, which may aggravate the overheating problem of electric bicycles and charging equipment. Therefore, an open design is conducive to air circulation and equipment heat dissipation, reducing the risk of overheating;

[0045] Some electric bicycle users, considering the issue of rain and sun protection for electric bicycles, choose to use power strips or adapters privately and move the electric bicycles to the inside of the overhead floor for charging. If the power strips or adapters are of poor quality or are overloaded, they may short-circuit due to overload, easily causing electrical fires. Wires exposed to the outdoors for a long time are prone to aging and wear, increasing the risk of electrical failures. Charging electric bicycles under the overhead floor may occupy or block emergency passages, affecting escape and rescue in emergency situations such as fires. Electric bicycle batteries may overheat, leak or explode during charging, especially when non-compliant wires and sockets are used, which may endanger the safety of the entire building. At the same time, irregular charging methods may damage electric bicycle batteries, shorten battery life, and affect the normal use of electric bicycles. Therefore, a charging area should be set up in the space outside the overhead floor, and the location and status of electric bicycles should be monitored to ensure charging safety and public safety.

[0046] The positioning and identification module is used to authenticate the user who is charging the electric bicycle, set up a virtual geographic fence, and collect the location information of the electric bicycle;

[0047] The user's identity verification information is verified through sensors. There are many ways to verify identity, including biometric verification and tag verification.

[0048] Biometric verification includes face recognition and fingerprint recognition. The charging pile is equipped with a camera. The user inputs face information through the camera. The electric vehicle charging management system compares the collected face image with the pre-stored face data in the database. When the verification is passed, the charging pile is powered on. Fingerprint recognition is achieved by entering the fingerprint on the charging pile. The electric vehicle charging management system reads the collected fingerprint and compares it with the fingerprint information in the database. When the verification is passed, the charging pile is powered on.

[0049] Tag identification includes IC card identification, RFID identification, and barcode identification. IC card identification is based on the user holding an IC card with a unique identification code swiping the card on the card reader of the charging pile or charging management system. The electric vehicle charging management system reads the identification code of the IC card and compares it with the authorized user information in the database. When the verification is passed, the charging pile is powered on. RFID identification is through the user holding a card or device with an RFID tag and scanning it with the RFID reader equipped on the charging pile to read the RFID tag information. The electric vehicle charging management system compares the read RFID information with the authorization information in the database. When the verification is passed, the charging pile is powered on. Barcodes include barcodes and QR codes. Barcode identification is that the user generates a unique barcode or QR code through the mobile App of the electric vehicle charging management system, and scans the barcode or QR code on the scanning device of the charging pile. The electric vehicle charging management system verifies the user information through the Internet. When the verification is passed, the charging pile is powered on.

[0050] The advantages of biometrics are high security, difficulty in forging, and users do not need to carry any cards or devices, which provides an excellent experience;

[0051] IC card recognition in tag recognition is easy to operate, IC cards are cheap and have low maintenance costs, and are easy to promote. The advantages of RFID recognition are that it does not require contact, can be read from a distance, and has a good user experience. The advantages of barcode recognition are that users do not need to carry additional cards or devices, and it is easy to integrate with mobile apps and is easy to operate.

[0052] It should be noted that the electric vehicle charging management system can use one user verification method or a combination of multiple verification methods to jointly perform identity verification, which is conducive to improving security.

[0053] GPS modules and RFID tags are installed on electric bicycles, and RFID readers are installed in the charging pile area. The RFID readers cover all charging pile locations. The local server of the electric vehicle charging management system collects the location signals of the electric bicycles and processes the data centrally.

[0054] The communication verification module is used to verify the location information of the electric bicycle according to the preset virtual geographic fence. When the electric bicycle is in a safe charging position, the electric vehicle charging management system authorizes the charging pile to be powered on. The safe charging position is a safe charging area outside the overhead layer. The process of verifying the location information of the electric bicycle according to the preset virtual geographic fence is as follows:

[0055] The GPS module of the electric bicycle obtains the location signal of the electric bicycle inside the community and sends it to the local server of the electric vehicle charging management system;

[0056] When an electric bicycle enters the charging area, the RFID tag on the electric bicycle is read by the RFID reader in the electric vehicle charging station area;

[0057] After the local server collects GPS and RFID data, it performs location data fusion processing to obtain the real-time location of the electric bicycle and determines whether the electric bicycle is in the designated charging area through the virtual geographic fence.

[0058] The fusion processing of the location information of electric bicycles based on GPS and RFID signals is to obtain a more precise and accurate location signal. GPS can provide global positioning services with high accuracy in open environments. The conventional accuracy range is from several meters to more than ten meters. However, in densely built-up areas in cities, when there are building barriers or when entering and exiting underground facilities, GPS signals may be blocked, or due to the influence of multipath effects, the positioning accuracy may decrease or even fail. RFID has high positioning accuracy in a small range, and is especially suitable for positioning in densely built-up areas and local areas. However, RFID has a limited coverage range and cannot provide a large-scale positioning service like GPS. There may be hundreds or thousands of buildings in domestic residential areas, or only one building in some. The GPS system can achieve preliminary positioning of electric bicycles within the residential area.

[0059] By applying data fusion algorithms such as Kalman filtering and particle filtering, noise and abnormal data can be effectively filtered to improve positioning accuracy. Using data fusion technology, more advanced functions such as path tracking and behavior analysis can be realized to improve the intelligence level of the system.

[0060] Fusion of multiple sensor data provides data redundancy, which can effectively detect and correct errors or abnormal data that may occur in a single sensor. In the event of unstable or failed GPS or RFID signals, another technology can serve as a backup to ensure that the system can still provide location information;

[0061] Electric bicycles may frequently enter and exit indoor and outdoor environments during use. By integrating GPS and RFID data, the positioning system can be seamlessly switched between different scenarios to ensure the continuity and accuracy of positioning. In some complex environments, a single GPS or RFID positioning system is difficult to provide stable and comprehensive location information. Through data fusion, the information of the two can be integrated to provide more stable and accurate positioning services.

[0062] By integrating GPS and RFID data, the advantages and disadvantages of the two can be complemented in different scenarios to provide more accurate and reliable location information. For example, when the GPS signal is poor, RFID can be relied on for precise positioning, while GPS is mainly used in open areas, making full use of the advantages of both technologies, overcoming the limitations of a single technology, and improving the accuracy and reliability of positioning. Fusion processing can not only adapt to positioning needs in different environments, but also enhance the intelligence and stability of the system, providing a more efficient solution for electric bicycle charging management.

[0063] According to the collected GPS and RFID data, the local server performs location data fusion processing as follows:

[0064] The local server collects the latitude, longitude, altitude, and timestamp data sent by the GPS module. When the electric bicycle enters the coverage area of ​​the RFID reader, the RFID tag is activated, and the local server collects the unique identification code and timestamp data sent by the RFID reader;

[0065] Use filtering algorithms to filter GPS data, remove abnormal data, confirm the signal strength of the RFID reader, evaluate the distance from the RFID tag to the reader, remove duplicate readings, and retain one reading within the cycle time window of RFID identification;

[0066] The data fusion algorithm is used to calculate the position information. If the detected position signal has a jump, the previous position signal without a jump is used for correction.

[0067] Among them, the method of calculating the position information using the data fusion algorithm includes:

[0068] The weighted average method combines GPS data and RFID data through weighted calculation. The calculation method is: , where LS is the fusion position, GL is the GPS position, and RL is the RFID position. is a weighting factor controlled by signal quality;

[0069] Particle filter method, through the particle filter to fuse GPS data and RFID data, the state vector of the electric bicycle position is taken as , GPS data is , RFID data is , then the state vector is described from Time has come The change of time is , where is the state transfer function, is process noise, describing the relationship between the observation value and the state vector as and , where and are the observation functions of GPS and RFID respectively, and are the observation noises of GPS and RFID, respectively;

[0070] Particle initialization, at the initial moment , generate N particles , the particle weight is ;

[0071] According to the state transfer model, the particle set at the previous moment Sampling generates particles at the current moment ;

[0072] According to the observation value at the current moment, the weight of each particle is updated as ,in, and is the observation probability;

[0073] The normalized weights of all particles are , where j is the index of all particles, ranging from 1 to N.

[0074] The weighted average method and the particle filter method are means of mutual verification. One method is used to calculate the fusion position, and the other method is used to verify the calculation result. When the verification passes, the calculated fusion position is used for judgment. When the verification fails, the average of the two calculation results is taken for application processing.

[0075] The process monitoring module is used to monitor the charging position status of the electric vehicle and detect the position change of the electric bicycle;

[0076] During the charging process, the charging position of the electric bicycle is collected in real time. When the position of the charging electric bicycle changes, a position signal is sent to the user and the manager to prompt the electric bicycle to move.

[0077] The alarm notification module is used to analyze the charging status of electric bicycles. When an abnormal movement status is detected, the electric vehicle charging management system automatically stops charging and issues an alarm to notify users and managers;

[0078] When an electric bicycle being charged leaves the safe charging area and enters the overhead layer of a building, charging will automatically stop and a warning signal will be sent to the user and manager, alerting them that the electric bicycle has moved and there is a risk.

[0079] This application combines GPS data and RFID data to integrate the charging location information of electric vehicles, thereby improving the accuracy and reliability of electric vehicle location signals and monitoring the displacement of electric vehicles during charging. When an electric vehicle during charging shifts its location to the overhead layer of a building, the electric vehicle charging management system automatically stops charging the electric vehicle to avoid overheating, explosion or fire caused by charging failures in the charging electric vehicle, effectively improving the safety level of the residential area overhead layer, solving the governance problems between electric vehicle users and property management, and improving the level of charging control management.

[0080] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0081] The above embodiments can be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented by software, the above embodiments can be implemented in whole or in part in the form of computer program goods. The computer program goods include one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website site, computer, server or data center to another website site, computer, server or data center by wired or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or data center that contains one or more available media sets. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state hard disk.

[0082] It should be understood that in the various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0083] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0084] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the system described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0085] If the functions are implemented in the form of software functional units and sold or used as independent goods, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application can essentially or in other words, the part that contributes to the prior art or the part of the technical solution can be embodied in the form of software goods, and the computer software goods are stored in a storage medium, including several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM), random access memory (RAM), disk or optical disk, and other media that can store program codes.

[0086] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. An electric vehicle charging management system, characterized in that: It includes positioning identification module, communication verification module, process monitoring module and alarm notification module; The positioning and identification module is used to authenticate the user who is charging the electric bicycle, set up a virtual geographic fence, and collect the location information of the electric bicycle; The communication verification module is used to verify the location information of the electric bicycle according to the preset virtual geo-fence. When the electric bicycle is in a safe charging position, the electric vehicle charging management system authorizes the charging pile to be powered on; Install GPS modules and RFID tags on electric bicycles, and install RFID readers in the charging pile area. The RFID readers cover all the charging pile locations. The local server of the electric vehicle charging management system collects the location signals of the electric bicycles and processes the data centrally. The GPS module of the electric bicycle obtains the location signal of the electric bicycle inside the community and sends it to the local server of the electric vehicle charging management system; When an electric bicycle enters the charging area, the RFID tag on the electric bicycle is read by the RFID reader in the electric vehicle charging station area; After the local server collects GPS and RFID data, it performs location data fusion processing to obtain the real-time location of the electric bicycle and determines whether the electric bicycle is in the designated charging area through the virtual geographic fence; According to the collected GPS and RFID data, the local server performs location data fusion processing as follows: The local server collects the latitude, longitude, altitude, and timestamp data sent by the GPS module. When the electric bicycle enters the coverage area of ​​the RFID reader, the RFID tag is activated, and the local server collects the unique identification code and timestamp data sent by the RFID reader; Use filtering algorithms to filter GPS data, remove abnormal data, confirm the signal strength of the RFID reader, evaluate the distance from the RFID tag to the reader, remove duplicate readings, and retain one reading within the cycle time window of RFID identification; Use data fusion algorithm to calculate the position information. If the detected position signal has a jump, use the previous position signal without jump for correction. The process monitoring module is used to monitor the charging position status of the electric vehicle and detect the position change of the electric bicycle; The alarm notification module is used to analyze the charging status of electric bicycles. When an abnormal movement state is detected, the electric vehicle charging management system automatically stops charging and issues an alarm to notify users and managers.

2. An electric vehicle charging management system according to claim 1, characterized in that: Methods for calculating position information using data fusion algorithms include: Weighted average method, through weighted calculation, integrates GPS data and RFID data. The calculation method is LS = α × GL + ( 1-α ) ×RL, where LS is the fused position, GL is the GPS position, RL is the RFID position, and α is the weight factor controlled by the signal quality; Particle filter method, GPS data and RFID data are fused through particle filter, with the state vector of the electric bicycle position as x t , GPS data is RFID data is Then the change of the state vector from time t-1 to time t is x t =f(x t-1 )+w t , where f(·) is the state transfer function, w t is process noise, describing the relationship between the observation value and the state vector as and In the formula, h G (·) and h R (·) are the observation functions of GPS and RFID, and are the observation noises of GPS and RFID, respectively; Particle initialization, at the initial time t = 0, N particles are generated The particle weight is According to the state transfer model, the particle set at the previous moment Sampling generates particles at the current moment According to the observation value at the current moment, the weight of each particle is updated as in, and is the observation probability; The normalized weights of all particles are Where j is the index of all particles, ranging from 1 to N.

3. An electric vehicle charging management system according to claim 2, characterized in that: The determination and processing methods for abnormal movement are as follows: When an electric bicycle being charged leaves the safe charging area and enters the overhead layer of a building, charging will automatically stop and a warning signal will be sent to the user and manager, alerting them that the electric bicycle has moved and there is a risk.

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