Electric bicycle charging management method and device and medium

Abstract

The invention discloses an electric bicycle charging management method and device and a medium, and relates to the field of charging control, and the method comprises the steps: obtaining the model information of a to-be-charged electric bicycle, and querying the battery factory parameters and historical charging data of the to-be-charged electric bicycle from a cloud; determining the original charging power according to the delivery parameters of the battery; analyzing the historical charging data, and determining a battery health state of the to-be-charged electric bicycle; and adjusting the original charging power according to the battery health state, and charging the to-be-charged electric bicycle based on the adjusted charging power. According to the method, vehicle type information is accurately obtained, cloud battery factory parameters are matched, the risk of over-charging or under-charging caused by charger incompatibility is avoided, the battery health state is analyzed based on historical charging data, the charging power is adjusted, damage of high-load charging to an aged battery is reduced, and the cycle life of a lithium battery is prolonged.

Description

Technical Field

[0001] The present application relates to the field of charging control technology, and in particular to an electric bicycle charging management method, device and medium. Background Art

[0002] In recent years, electric bicycles have become an important means of transportation for short-distance travel in cities due to their affordability, convenience and flexibility. With the rapid growth in the number of electric bicycles, the demand for charging electric bicycles has also become increasingly strong.

[0003] There are many brands of electric bicycles on the market, and the battery specifications and models are complicated. Different brands of chargers have different parameters such as output voltage and current. When using charging piles to charge, users need to bring their own chargers, and the compatibility of chargers of different brands is poor. If the charger used by the user does not match the battery, the battery may be overcharged during the charging process, causing the battery to heat up and bulge, and even cause a fire in severe cases, posing a serious threat to the safety of the user's life and property.

[0004] In addition, traditional charging pile systems often use IC cards or mobile phones to scan QR codes to log in. This method not only requires users to carry mobile phones for operation, but also has the risk of fraud and lacks intelligence. In addition, when traditional charging pile systems monitor the charging process in real time, when charging abnormalities occur such as short circuits, overloads, etc., it takes multiple steps from monitoring to abnormalities to power off. There may be delays of tens of milliseconds to seconds. For rapidly evolving accidents such as thermal runaway of lithium batteries, delays may miss the best time to power off. Summary of the invention

[0005] In order to solve the above problems, the present application proposes an electric bicycle charging management method, comprising: Obtaining the model information of the electric bicycle to be charged, so as to query the cloud for the factory parameters and historical charging data of the battery of the electric bicycle to be charged; Determine the original charging power based on the factory parameters of the battery; Analyzing the historical charging data to determine the battery health status of the electric bicycle to be charged; The original charging power is adjusted according to the battery health status, and the electric bicycle to be charged is charged based on the adjusted charging power.

[0006] On the other hand, the present application also proposes an electric bicycle charging management device, comprising: at least one processor; and, a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute an electric bicycle charging management method as described in the above example.

[0007] On the other hand, the present application also proposes a non-volatile computer storage medium storing computer executable instructions, wherein the computer executable instructions are configured as: an electric bicycle charging management method as described in the above example.

[0008] The electric bicycle charging management method proposed in this application can bring the following beneficial effects: This application accurately obtains vehicle model information and matches the cloud battery factory parameters to avoid the risk of overcharging or undercharging due to charger incompatibility. It also analyzes the battery health status based on historical charging data, adjusts the charging power, reduces the damage of high-load charging to aging batteries, and extends the cycle life of lithium batteries.

[0009] Charging records and battery health data are stored in the cloud, providing a basis for optimizing charging strategies, battery recycling and urban energy planning, and contributing to the goal of carbon neutrality. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings: Figure 1 A schematic diagram of a flow chart of an electric bicycle charging management method in an embodiment of the present application; Figure 2 A schematic diagram of a charging pile system architecture and cloud interaction in an embodiment of the present application; Figure 3 This is a schematic diagram of an electric bicycle charging management device in an embodiment of the present application. DETAILED DESCRIPTION

[0011] In order to make the purpose, technical solution and advantages of the present application clearer, the technical solution of the present application will be clearly and completely described below in combination with the specific embodiments of the present application and the corresponding drawings. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present application.

[0012] The technical solutions provided by various embodiments of the present application are described in detail below in conjunction with the accompanying drawings.

[0013] like Figure 1As shown, the embodiment of the present application provides an electric bicycle charging management method, comprising: S101: Obtain model information of the electric bicycle to be charged, so as to query the cloud for factory parameters and historical charging data of the battery of the electric bicycle to be charged.

[0014] Specifically, Figure 2 As shown, it includes a charging pile and a cloud. The cloud includes a cloud information management module. The charging pile includes a user interaction module, a safety monitoring module, a charging control module and an output power management module. The model information of the electric bicycle to be charged input or selected by the user is obtained through the user interaction module. A query request is generated based on the model information of the electric bicycle to be charged and sent to the cloud. The cloud queries the model database based on the model information to determine the battery factory parameters and historical charging data corresponding to the electric bicycle to be charged, and returns them to the charging pile.

[0015] Before obtaining the model information of the electric bicycle to be charged, it also includes receiving a request to be charged, collecting the authentication information of the charging user based on the authentication method selected by the charging user, so as to verify the user to the cloud, and executing the user login according to the verification result returned by the cloud. Among them, the authentication methods include face recognition verification, card recognition verification, and code scanning verification. When the authentication method is determined to be face recognition verification, the face information of the charging user is collected and the face features of the face information are extracted. When the authentication method is determined to be face recognition verification, the IC card information is read. When the authentication method is determined to be code scanning verification, the code scanning device information is obtained.

[0016] Before the user logs in or after verification fails, the user can register through the mini program. Specifically, the user opens the mini program, logs in after registration, and recharges the account. The user selects the face information entry function in the mini program. The mini program requests to open the user's camera, obtains the user's image photo, and uploads the photo to the cloud management module. The cloud management module extracts facial features through face recognition algorithms such as YOLOV5, and stores them in the feature database.

[0017] It should be noted that the main body of the user interaction module is a touch screen with a camera, a built-in IC card reader antenna, and an area for pasting a QR code on the outside. The user selects the electric vehicle model through the touch screen, thereby determining the battery model (such as 48V, 60V, 72V) and charging current (such as 5A, 10A, 15A), and the system automatically adjusts the output power according to the selection; supports multi-mode authentication, including face recognition, card swiping and code scanning functions, and sends the authentication information to the control module; users can view the charging status, remaining time and cost information through the touch screen.

[0018] The safety monitoring module is equipped with a multi-spectral thermal imaging camera (visible light + infrared dual channels). It monitors the temperature changes of electric vehicles during charging in real time, identifies abnormal temperature rise or smoke, issues fire warnings in a timely manner, and transmits the alarm information to the control module to control power outages.

[0019] The charging control module manages the entire authentication, charging, and safety monitoring processes. It receives information from the interaction module and the safety monitoring module to comprehensively determine the charging status; it controls the output power management module to dynamically adjust the charging parameters; and it uploads the charging data to the cloud information management module via the 4G module to achieve remote monitoring.

[0020] The output power management module mainly includes a control circuit composed of a programmable power management chip (such as TPS546D24) and a power factor correction (PFC) unit. According to the battery model and charging current selected by the user, it outputs the appropriate power (such as 48V / 10A, 60V / 15A, 72V / 20A) and provides a variety of charging interfaces; it is equipped with a self-test module to detect the discharge voltage of the electric vehicle battery. When the parameters selected by the user are too large, the output power is automatically adjusted to avoid overcharging and damaging the battery.

[0021] The cloud is used to manage the user's account information, identity information, charging records and charging pile usage records; receive real-time data uploaded by the charging control module, perform user authentication and provide feedback on the results.

[0022] S102: Determine the original charging power according to the factory parameters of the battery.

[0023] Specifically, according to the rated voltage and maximum allowable current in the battery factory parameters, based on Formula 1: , calculate the original charging power. For example, if the rated voltage of the battery is 48V and the rated current is 5A, the original charging power P=48×5=240W.

[0024] S103: Analyze the historical charging data to determine the battery health status of the electric bicycle to be charged.

[0025] Specifically, the latest charging record in the historical charging data is obtained, including the starting battery power, the ending battery power, the charging time, and the charging current. The starting battery power is the remaining capacity before charging, which is obtained by the static voltage method or the last charging end value. The ending battery power is the battery capacity after charging is completed. The data is standardized, the time intervals are unified, and abnormal data is eliminated.

[0026] Furthermore, the actual capacity of the battery of the electric bicycle to be charged is calculated according to the charging current and charging time in the latest charging record, and the actual capacity of the battery is compensated based on the battery temperature value in the latest charging record to obtain the current actual capacity of the battery.

[0027] S104: adjusting the original charging power according to the battery health status, and charging the electric bicycle to be charged based on the adjusted charging power.

[0028] Specifically, according to the current actual capacity of the battery, the capacity attenuation rate of the electric bicycle battery to be charged is determined, the current charging peak and valley period is determined, and the maximum allowable charging current is determined according to the preset current correction coefficient and capacity attenuation rate corresponding to the charging peak and valley period. According to the maximum allowable charging current, the original charging power is adjusted.

[0029] Furthermore, by installing monitoring equipment on the charging pile, the regular image and temperature distribution of the charging pile area are captured in real time, the smoke characteristics and fire characteristics in the regular image are extracted, and the charging pile area is monitored for abnormalities based on the smoke characteristics, fire characteristics and temperature distribution.

[0030] According to the time series data corresponding to the battery status, the status trends corresponding to the battery status are calculated respectively, and the status trends are monitored for abnormalities based on the corresponding abnormal thresholds.

[0031] In the embodiment of the present application, the implementation method can be to select the authentication method on the touch screen of the interactive module, including face login, card login and code scanning login. After the user chooses face login, the voice broadcast "Please look at the camera", the camera of the interactive module is turned on, and after collecting the user's face picture information, it is transmitted to the control module. The control module has a built-in face recognition algorithm such as YOLOV5, etc. After extracting the face features, it is uploaded to the cloud information management module. The management module calculates the cosine familiarity between the uploaded features and the face features in the database to identify the personnel information; after the user chooses to swipe the card to log in, the voice broadcast "Please swipe the card in the card swiping area", the IC card reading area detects the user's card swiping information, and transmits the card swiping information to the control module, the control module uploads the card swiping information to the cloud information management module, and the cloud information management module sends the authentication result to the control module; after the user chooses to scan the code to log in, the voice broadcast "Please open the mobile phone to scan the code", and the user uses the applet to scan the code to log in.

[0032] After the authentication is completed, enter the electric vehicle model selection interface. This interface lists the models of most electric vehicles on the market. After the user selects the model of his own electric vehicle, the electric vehicle model information is transmitted to the cloud information management module through the control module. The cloud information management module stores a model database, and determines the battery model, charging current and charging interface type according to the electric vehicle model database, and then determines the appropriate output power (such as 48V / 10A, 60V / 15A, 72V / 20A). The output power information and charging interface type information are transmitted to the output power management module through the control module. The output power management module pops up the charging interface of the corresponding model, and the user plugs the interface into the charging socket of his own electric vehicle. After the output power management module detects that the interface is inserted, it starts to adjust the output power and charge.

[0033] After charging begins, the safety monitoring module uses a multi-spectral thermal imaging camera (visible light + infrared dual channels) to monitor the temperature changes of the electric vehicle during the charging process in real time. After identifying abnormal temperature rise or smoke, it issues a fire warning and transmits the alarm information to the control module to control power outage. The charging control module monitors the charging status and is used to implement common functions of charging piles, monitor abnormal status (overvoltage, undervoltage, overload, leakage current, etc.), and interact with the cloud.

[0034] The electric vehicle stops automatically when it is fully charged, or charging can be ended through the APP.

[0035] This application accurately obtains vehicle model information and matches the cloud battery factory parameters to avoid the risk of overcharging or undercharging due to charger incompatibility. It also analyzes the battery health status based on historical charging data, adjusts the charging power, reduces the damage of high-load charging to aging batteries, and extends the cycle life of lithium batteries.

[0036] Charging records and battery health data are stored in the cloud, providing a basis for optimizing charging strategies, battery recycling and urban energy planning, and contributing to the goal of carbon neutrality.

[0037] Supports three authentication methods: face recognition, card swiping and code scanning, improving the convenience and security of user operations like Figure 3 As shown, the embodiment of the present application also proposes an electric bicycle charging management device, including: at least one processor; and, a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute an electric bicycle charging management method as described in any of the above embodiments.

[0038] An embodiment of the present application further provides a non-volatile computer storage medium storing computer executable instructions, wherein the computer executable instructions are configured as: an electric bicycle charging management method as described in any of the above embodiments.

[0039] Each embodiment in this application is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device and medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiments.

[0040] The devices and media provided in the embodiments of the present application correspond one-to-one to the methods. Therefore, the devices and media also have similar beneficial technical effects as the corresponding methods. Since the beneficial technical effects of the methods have been described in detail above, the beneficial technical effects of the devices and media will not be repeated here.

[0041] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0042] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0043] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0044] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0045] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0046] Memory may include non-permanent storage in a computer-readable medium, in the form of random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory is an example of a computer-readable medium.

[0047] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0048] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0049] The above is only an embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.

Claims

1. A method for managing charging of an electric bicycle, characterized in that: The method comprises: Obtaining the model information of the electric bicycle to be charged, so as to query the cloud for the factory parameters and historical charging data of the battery of the electric bicycle to be charged; Determine the original charging power based on the factory parameters of the battery; Analyzing the historical charging data to determine the battery health status of the electric bicycle to be charged; The original charging power is adjusted according to the battery health status, and the electric bicycle to be charged is charged based on the adjusted charging power.

2. The electric bicycle charging management method according to claim 1, characterized in that: The analyzing the historical charging data to determine the battery health status of the electric bicycle to be charged specifically includes: Obtaining the latest charging record in the historical charging data, and calculating the actual capacity of the battery of the electric bicycle to be charged according to the charging current and charging duration in the latest charging record; Based on the battery temperature value in the latest charging record, the actual capacity of the battery is compensated to obtain the current actual capacity of the battery.

3. The electric bicycle charging management method according to claim 2, characterized in that: The adjusting the original charging power according to the battery health status specifically includes: Determining the capacity attenuation rate of the battery of the electric bicycle to be charged according to the current actual capacity of the battery; Determine the current charging peak and valley period; Determining a maximum allowable charging current according to a preset current correction coefficient corresponding to the charging peak and valley periods and the capacity decay rate; The original charging power is adjusted according to the maximum allowed charging current.

4. The electric bicycle charging management method according to claim 1, characterized in that: After charging the electric bicycle to be charged based on the adjusted charging power, the method further includes: Real-time acquisition of the battery status of the electric bicycle to be charged during the charging process, wherein the battery status includes battery temperature, battery power and battery internal resistance; Based on the adjustment threshold corresponding to each battery state, each battery state is monitored respectively; When there is a limit battery state that exceeds the corresponding adjustment threshold, the charging power is adaptively adjusted according to the adjustment rule corresponding to the limit battery state through the fuzzy controller.

5. The electric bicycle charging management method according to claim 4, characterized in that: After obtaining the battery status of the electric bicycle to be charged in real time during the charging process, the method further includes: Calculating the state trends corresponding to the battery states according to the time series data corresponding to the battery states; The state trends are monitored for abnormalities based on corresponding abnormal thresholds.

6. The electric bicycle charging management method according to claim 1, characterized in that: After charging the electric bicycle to be charged based on the adjusted charging power, the method further includes: The monitoring equipment installed at the charging pile can capture the regular images and temperature distribution of the charging pile area in real time; Extracting smoke features and fire features in the conventional image; Based on the smoke characteristics, the fire characteristics and the temperature distribution, the charging pile area is monitored for abnormalities.

7. The electric bicycle charging management method according to claim 1, characterized in that: Before obtaining the model information of the electric bicycle to be charged, the method further includes: Receiving a request to be charged, and based on the authentication method selected by the charging user, collecting the authentication information of the charging user to verify the user to the cloud; Execute user login based on the verification result returned by the cloud.

8. The method for managing charging of an electric bicycle according to claim 7, characterized in that: The authentication methods include face recognition, card recognition, and QR code scanning. The collecting of the authentication method selected by the charging user and collecting the authentication information of the charging user specifically includes: When it is determined that the authentication method is face recognition verification, collecting the facial information of the charging user and extracting facial features of the facial information; When it is determined that the authentication method is face recognition, reading the IC card information; When it is determined that the authentication method is code scanning verification, the code scanning device information is obtained.

9. An electric bicycle charging management device, characterized in that: include: at least one processor; as well as, a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute an electric bicycle charging management method as described in any one of claims 1 to 8.

10. A non-volatile computer storage medium storing computer executable instructions, characterized in that: The computer executable instructions are set to: an electric bicycle charging management method as described in any one of claims 1 to 8.

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