Intelligent charging method and system for electric bicycle

Abstract

This invention relates to an intelligent charging method and system for electric bicycles, belonging to the field of intelligent charging. The method includes: acquiring image information and environmental parameter information of a pre-set charging area's charging shed; extracting charging scene features based on the charging shed image information and combining it with the environmental parameter information to determine the charging scene type; determining the charging operating mode based on the charging scene type; acquiring the outline and weight data of objects inside the automatic charging basin; determining whether an electric bicycle is parked based on the outline and weight data; and charging the electric bicycle based on the charging operating mode when a parked electric bicycle is detected. This application improves the accuracy of intelligent charging.

Description

Technical Field

[0001] This invention relates to the field of intelligent charging, and in particular to an intelligent charging method and system for electric bicycles. Background Technology

[0002] Intelligent charging for electric bicycles refers to a charging method that actively monitors, dynamically adjusts, and intelligently manages the charging process of electric bicycles.

[0003] Currently, intelligent charging technology for electric bicycles has been gradually developed. In terms of vehicle parking detection, existing technologies usually use weight sensors to determine whether an object is placed there, which serves as the basis for triggering charging preparation.

[0004] When relying solely on weight sensors for detection, it is impossible to effectively distinguish whether the placed object is an electric bicycle. If other heavy objects are placed in the charging area, the weight sensor will mistakenly identify that an electric bicycle is parked there, thus incorrectly triggering the charging preparation process, leading to malfunction of the charging system and reducing the accuracy of smart charging. Summary of the Invention

[0005] To improve the accuracy of intelligent charging, this invention provides an intelligent charging method and system for electric bicycles.

[0006] In a first aspect, the present invention provides an intelligent charging method for electric bicycles, employing the following technical solution:

[0007] A smart charging method for electric bicycles includes:

[0008] Collect image information and environmental parameter information of the charging shed in the preset charging area;

[0009] Charging scene features are extracted based on charging shed image information, and environmental parameter information is combined to determine the charging scene type;

[0010] The charging operating mode is determined based on the type of charging scenario.

[0011] Collect data on the outline of objects inside the automatic charging basin and the weight data inside the basin.

[0012] Based on the outline of the objects inside the basin and the weight data inside the basin, it can be determined whether there is an electric bicycle parked there.

[0013] When an electric bicycle is detected to be parked, it will be charged based on the charging operating mode.

[0014] By adopting the above technical solution, image information and environmental parameter information of the charging area's charging shed are collected. Charging scene features are extracted from the images, and the scene type is determined by combining the environmental parameters, thereby matching the corresponding charging working mode. Furthermore, by collecting the outline of objects and their weight data within the automatic charging basin, a dual determination of outline and weight is performed. Once the vehicle is confirmed to be parked, the system initiates the charging process according to the matched charging working mode. This reduces charging system malfunctions, ensures the adaptability and safety of the charging process, and ultimately improves the accuracy of intelligent charging.

[0015] Optionally, the charging operating mode includes a home fixed charging mode and an outdoor charging mode, wherein the home fixed charging mode includes:

[0016] Collect information on electric bicycles and basic parameters of household circuits;

[0017] Based on electric bicycle information, obtain vehicle charging compatibility characteristics;

[0018] The home charging power is determined by combining the vehicle's charging compatibility characteristics and the basic parameters of the home circuit.

[0019] Configure charging parameters based on vehicle charging compatibility characteristics and home charging power;

[0020] The charging device is controlled to perform charging operations based on the charging parameters.

[0021] By adopting the above technical solution, information about electric bicycles and basic parameters of household circuits are first collected, and then vehicle model charging compatibility characteristics are extracted from the vehicle information. These characteristics are then analyzed in conjunction with household circuit parameters to determine the safe charging power for home scenarios. Based on the compatibility characteristics and the determined power, specific charging parameters are configured. Finally, the charging device is controlled to perform charging operations according to these parameters, thereby improving the safety, compatibility, and accuracy of smart charging in home scenarios.

[0022] Optionally, the outdoor charging mode includes:

[0023] Collect outdoor power grid load parameters and images of objects inside the automatic charging basin;

[0024] The preset charging area is scanned and identified from the image of the object inside the basin to extract the object's appearance features.

[0025] Based on the object's appearance features, match the charging vehicle model information;

[0026] The system generates outdoor charging power based on outdoor power grid load parameters and charging vehicle vehicle information, and collects user authorization information.

[0027] In response to user authorization information, the preset outdoor charging device is inserted into the charging port of the electric bicycle using a preset charging control method, and outdoor charging is performed using the charging power.

[0028] By adopting the above technical solution, real-time load parameters of the outdoor power grid and images of objects within the automatic charging basin are first collected. The appearance features of objects in the charging area are scanned and identified from the images to match corresponding vehicle model information. Then, combining the outdoor power grid load parameters and vehicle model information, a suitable outdoor charging power is dynamically generated. Simultaneously, user authorization information is collected to ensure that the charging operation is authorized by the user. After authorization, the system controls the outdoor charging device to automatically insert into the vehicle's charging port according to a preset method and perform charging at the generated power. This ensures both the stable operation of the outdoor power grid and the compatibility of charging parameters with the vehicle, further improving the accuracy and safety of outdoor intelligent charging.

[0029] Optionally, the charging control method includes:

[0030] Capture images of the charging port area of ​​electric bicycles;

[0031] When the image of the charging port area contains preset charging interface features, the charging port position parameters are retrieved based on the charging vehicle model information.

[0032] The three-dimensional coordinates of the charging port are determined by combining the charging port location parameters and the image of the charging port area.

[0033] The bending angle of the outer sleeve is obtained based on the three-dimensional coordinates of the charging port;

[0034] The tumbling parameters are generated based on the bending angle of the outer tube.

[0035] The system controls the preset flexible outer tube to move to the three-dimensional coordinates of the charging port, and controls the preset wire drawing rope drive mechanism inside the flexible outer tube to tighten the wire drawing rope with the pulling parameters, so that the flexible outer tube bends from a straight state towards the charging port, so that the charging interface of the flexible outer tube is inserted into the charging port of the electric bicycle for charging.

[0036] By adopting the above technical solution, images of the charging port area are first acquired. When a charging interface matching the preset characteristics is identified, the charging port position parameters of that vehicle model are retrieved based on the vehicle model information, and the three-dimensional coordinates of the charging port are determined through image analysis. The required bending angle of the flexible outer sleeve is calculated based on the three-dimensional coordinates, generating the pulling parameters for the drawing rope. After the flexible outer sleeve is moved to the target position, the drawing rope drive mechanism tightens the drawing rope according to the parameters, causing the outer sleeve to bend from a straight state towards the charging port, ultimately guiding the front-end charging interface to accurately insert into the vehicle's charging port. This overcomes the limitations of traditional manual insertion / removal or rigid robotic arm docking. Visual positioning ensures coordinate accuracy, and the controllable bending of the flexible outer sleeve adapts to possible slight positional deviations of the charging port, avoiding interface damage problems easily caused by rigid docking, thus improving the convenience and efficiency of outdoor charging.

[0037] Optionally, the charging control method further includes:

[0038] When the charging port area image does not contain the preset charging interface features, the occlusion features are obtained by identifying the occlusions of the charging port from the charging port area image.

[0039] When the obstruction features are preset foreign object features, the preset air blowing pipe inside the flexible outer tube is controlled to blow air around the charging port at a preset blowing force value, and the air blowing image of the charging port is collected.

[0040] When the air blowing image of the charging port does not contain any foreign object features, the air blowing line is controlled to stop blowing and the foreign object is removed.

[0041] When the obstruction features are the preset charging port cover features or the foreign object is removed, the charging port cover features are scanned and identified from the charging port area image to obtain the location of the charging port cover.

[0042] The parameters for opening the cover by pulling the wire are generated based on the position of the charging port cover;

[0043] The wire drawing rope drive mechanism, which is pre-set inside the flexible outer tube, is controlled to tighten the wire drawing rope according to the wire drawing rope opening parameters, so that the flexible outer tube bends towards the lid and real-time images of the lid area are acquired.

[0044] When the real-time image of the cover area contains the charging interface feature, the wire drawing drive mechanism is controlled to insert into the charging port so that the charging interface of the flexible outer tube is inserted into the charging port of the electric bicycle for charging.

[0045] By adopting the above technical solution, when the image cannot identify the charging interface features, the system first determines the type of obstruction. If it is a foreign object, the system controls the air blowing tube inside the flexible outer tube to blow air at a preset force to clean it until the image confirms that the foreign object has been removed. If it is a charging port cover or a cover still obstructing the view after the foreign object has been removed, the system locates the cover position through the image and generates targeted parameters for the pull-out rope to open the cover. The pull-out rope drive mechanism is controlled to tighten the pull-out rope according to the parameters, causing the flexible outer tube to bend towards the cover and trigger the opening action. At the same time, the system monitors the cover status through real-time image. Once it is confirmed that the cover is open and the charging interface is exposed, the system immediately drives the outer tube to insert into the charging port to complete the docking. This solves the docking failure problem caused by external obstruction, reduces the need for manual intervention, and ensures that charging ports in various complex states can achieve automated docking in outdoor scenarios, further improving the user experience.

[0046] Optional, also includes:

[0047] Collect user charging settings parameters;

[0048] Generate a user charging plan based on user charging settings and vehicle model information;

[0049] The power adjustment curve is obtained based on the user's charging plan;

[0050] The power adjustment curve is used to adjust the outdoor charging power and collect battery temperature change values.

[0051] Retrieve the charging temperature threshold from the user's charging plan and compare it with the battery temperature change value;

[0052] When the battery temperature change exceeds the charging temperature threshold, the system switches to the preset safe charging mode and notifies the user.

[0053] By adopting the above technical solution, user charging settings parameters are first collected, and a suitable user charging plan is generated by combining the charging vehicle information, resulting in a corresponding power adjustment curve. During charging, the outdoor charging power is dynamically adjusted according to the power adjustment curve, while battery temperature changes are monitored in real time. When the detected battery temperature change exceeds the charging temperature threshold in the user's charging plan, the system immediately switches to a safe charging mode and notifies the user. This satisfies the user's personalized charging needs while effectively avoiding safety risks caused by battery overheating through temperature monitoring and safe mode switching.

[0054] Optional, also includes:

[0055] After the flexible outer tube is inserted into the charging port, the interface connection status data is collected;

[0056] The contact resistance value is obtained based on the interface connection status data;

[0057] The contact resistance value is compared with the preset safety resistance threshold.

[0058] When the contact resistance value exceeds the safety resistance threshold, a connection failure warning will be reported.

[0059] In response to a connection failure warning, the control wire drawing drive mechanism performs fine-tuning of the connection using preset connection fine-tuning parameters and updates the interface connection status data.

[0060] By adopting the above technical solution, after the flexible outer tube is inserted into the charging port, the system collects the interface connection status data and calculates the contact resistance value. By comparing it with the safety resistance threshold, the system judges whether the connection is reliable. When the contact resistance exceeds the limit, the system immediately reports a connection failure warning and automatically controls the wire drawing drive mechanism to finely adjust the interface position according to the connection fine-tuning parameters. At the same time, the connection status data is updated in real time to avoid charging interruption or safety hazards caused by connection problems, thereby improving the reliability and fault tolerance of the intelligent charging system.

[0061] Optional, also includes:

[0062] Based on user authorization information, obtain the user's requested charging value;

[0063] The target charging capacity is determined by combining user demand for charging value and information about the vehicle model being charged.

[0064] Collect battery charging power;

[0065] When the battery charge level matches the target charge level, charging stops and a charging completion notification is sent to the user's device.

[0066] By adopting the above technical solution, the user's required charging value is first extracted from the user's authorization information, and the specific target charging amount is determined by combining the charging vehicle information; during the charging process, the current charging amount of the battery is collected in real time, and when the target value is reached, the charging operation is automatically stopped and a completion prompt is pushed to the user's terminal. This design not only meets the user's personalized needs for charging amount, but also reduces the risk of battery overcharging through automatic termination and information push.

[0067] Optional, also includes:

[0068] Collect initial battery state data before charging begins;

[0069] Estimated charging time is calculated based on initial battery state data;

[0070] A charging schedule is generated based on the estimated charging time.

[0071] The charging progress estimate is obtained based on the charging progress schedule.

[0072] Collect real-time charging progress;

[0073] When the actual charging progress deviates from the estimated charging progress, an alarm message for charging anomalies will be reported.

[0074] By adopting the above technical solution, the initial state data of the battery before charging begins is collected, and the estimated charging time is calculated accordingly, generating a corresponding charging progress schedule and estimated progress values ​​for each stage. During charging, the actual charging progress is collected in real time and compared with the estimated value. When a significant deviation occurs, a charging anomaly alarm is immediately reported. This enables rapid identification of abnormal situations during the charging process, preventing charging failures or equipment damage caused by the escalation of abnormalities, and improving the fault diagnosis capability and reliability of the intelligent charging system.

[0075] Secondly, this application provides an intelligent charging system for electric bicycles, employing the following technical solution:

[0076] An intelligent charging system for electric bicycles includes:

[0077] The acquisition module is used to collect image information of the charging shed, environmental parameter information, the outline of objects inside the basin, and weight data inside the basin.

[0078] A memory for storing a program that implements a smart charging method for electric bicycles;

[0079] The processor is used to load and execute programs stored in memory.

[0080] In summary, this application includes at least one of the following beneficial technical effects:

[0081] 1. By collecting image information and environmental parameters of the charging area's charging shed, the system extracts charging scene features from the images and determines the scene type based on the environmental parameters, thereby matching the corresponding charging mode. Furthermore, by collecting the outline of objects within the automatic charging basin and their weight data, the system performs dual determination based on both outline and weight. Once the vehicle is confirmed to be parked, the system initiates the charging process according to the matched charging mode. This reduces malfunctions in the charging system, ensures the adaptability and safety of the charging process, and ultimately improves the accuracy of intelligent charging.

[0082] 2. By first acquiring images of the charging port area, when a charging interface matching preset characteristics is identified, the system retrieves the charging port position parameters for that vehicle model based on the vehicle's information, and determines the three-dimensional coordinates of the charging port through image analysis. Based on these three-dimensional coordinates, the required bending angle of the flexible outer sleeve is calculated, generating the pulling parameters for the drawing rope. After controlling the flexible outer sleeve to move to the target position, the drawing rope drive mechanism tightens the drawing rope according to the parameters, causing the outer sleeve to bend from a straight state towards the charging port, ultimately guiding the front-end charging interface to accurately insert into the vehicle's charging port. This overcomes the limitations of traditional manual insertion / removal or rigid robotic arm docking, ensuring coordinate accuracy through visual positioning, and utilizing the controllable bending of the flexible outer sleeve to adapt to possible minor positional deviations in the charging port, avoiding interface damage issues easily caused by rigid docking, and improving the convenience and efficiency of outdoor charging.

[0083] 3. When the image cannot identify the charging port features, the system first determines the type of obstruction. If it is a foreign object, the system controls the air blowing tube inside the flexible outer tube to blow air at a preset force to clear it until the image confirms that the foreign object has been removed. If it is a charging port cover or a cover still obstructing the view after the foreign object has been removed, the system locates the cover position through the image and generates targeted parameters for the pull-out rope to open the cover. The pull-out rope drive mechanism is controlled to tighten the pull-out rope according to the parameters, causing the flexible outer tube to bend towards the cover and trigger the opening action. At the same time, the system monitors the cover status through real-time image. Once it is confirmed that the cover is open and the charging port is exposed, the system immediately drives the outer tube to insert into the charging port to complete the docking. This solves the docking failure problem caused by external obstruction, reduces the need for manual intervention, and ensures that charging ports in various complex states can achieve automated docking in outdoor scenarios, further improving the user experience. Attached Figure Description

[0084] Figure 1 This is a simplified schematic diagram illustrating the operation of the flexible outer sleeve;

[0085] Figure 2 This is a flowchart of a smart charging method for electric bicycles.

[0086] The parts referred to by the numbers in the above attached diagrams are as follows: 1. Flexible outer sleeve; 2. Draw rope; 3. Charging port. Detailed Implementation

[0087] The present invention will now be described in further detail with reference to the accompanying drawings and embodiments.

[0088] Reference Figure 1 and Figure 2 This application discloses an intelligent charging method for electric bicycles, including the following steps:

[0089] S1: Collect image information and environmental parameter information of the charging shed in the preset charging area.

[0090] A charging area refers to a specific physical space used for charging electric bicycles (such as a corner of a home garage or a designated parking space in an outdoor charging shed). The charging area is predetermined by those skilled in the art and will not be elaborated upon here.

[0091] The charging shed image information refers to real-time image data captured inside and around the charging shed. This image information is collected by high-definition cameras installed inside the charging shed.

[0092] Environmental parameter information refers to real-time environmental data of the charging area, including temperature, humidity, and light intensity. This data is collected in real time by sensors deployed in the charging area (temperature and humidity sensors, light sensors, wind speed sensors, etc.).

[0093] S2: Extract charging scene features based on charging shed image information and combine them with environmental parameter information to determine the charging scene type.

[0094] Charging scene features refer to key features (such as the size of the charging shed, equipment type, and environmental stability) extracted from images of charging sheds to distinguish scene types. These features can be extracted by analyzing images of charging sheds using image recognition algorithms. Image recognition algorithms are common knowledge in this field and will not be elaborated upon here.

[0095] Charging scenario type refers to the category of charging scenarios based on scenario characteristics and environmental parameters. Specifically, it includes two categories: home scenario and outdoor scenario.

[0096] The charging scenario type corresponding to the charging scenario feature can be found by using the preset scenario feature comparison table. The table records the different charging scenario types corresponding to different charging scenario features. The comparison content in the scenario feature comparison table is compiled by those skilled in the art after conducting on-site research on different home and outdoor charging sheds and recording the matching relationship between various charging scenario features and corresponding scenario types. It will not be elaborated here.

[0097] At the same time, the query results are verified by combining environmental parameters (e.g., environmental parameters are stable for home scenarios, while environmental parameters for outdoor scenarios contain fluctuating data). If the two are consistent, the final charging scenario type is determined.

[0098] S3: Determine the charging working mode based on the type of charging scenario.

[0099] Charging working mode refers to the standardized charging process corresponding to different scenario types, specifically including home fixed charging mode and outdoor charging mode.

[0100] Home fixed charging mode refers to a charging mode designed for home scenarios and located in a fixed position. Its characteristics include stable circuit load and charging parameters adapted to home circuits.

[0101] Outdoor charging mode refers to a charging mode designed for outdoor public scenarios (such as community charging sheds and roadside charging stations). It needs to adapt to outdoor power grid load fluctuations and support automatic plug-in.

[0102] The pre-set scenario mode comparison table allows users to look up the charging working mode corresponding to a charging scenario type. The table records different charging working modes corresponding to different charging scenario types. The comparison content in the scenario mode comparison table is compiled and recorded by those skilled in the art based on the charging needs, equipment characteristics and safety standards of different scenarios, and the adaptation relationship between scenario types and working modes. It will not be elaborated here.

[0103] S4: Collect the outline of the object inside the automatic charging basin and the weight data inside the basin.

[0104] The outline of the object inside the basin refers to the outer edge features of the object inside the automatic charging basin. This outline is obtained by extracting the image of the basin's interior from a camera at the bottom of the basin using an image edge detection algorithm. The image edge detection algorithm is pre-selected by those skilled in the art and will not be elaborated upon here.

[0105] The weight data inside the basin refers to the real-time weight of the object being carried in the automatic charging basin. This weight data is obtained in real-time by sensors built into the charging basin, such as pressure sensors.

[0106] S5: Determine whether an electric bicycle is parked based on the outline of the object inside the basin and the weight data inside the basin.

[0107] This is achieved by using a preset electric bicycle feature threshold table, which records typical contour feature parameters and weight ranges of electric bicycles. The collected contour and weight data of objects in the basin are compared with the parameters in the table to determine whether there is an electric bicycle parked there.

[0108] The electric bicycle characteristic threshold table is a standard comparison table used to define the characteristic parameters of electric bicycles compared to other objects. The electric bicycle characteristic threshold table is pre-set by those skilled in the art and will not be elaborated upon here.

[0109] S6: When an electric bicycle is detected to be parked, charge the electric bicycle based on the charging working mode.

[0110] If the outline and weight data of the object in the basin are both within the threshold range, it is determined that an electric bicycle is parked there, and the parked electric bicycle needs to be charged based on the obtained charging working mode.

[0111] Charging modes include home fixed charging mode and outdoor charging mode. Home fixed charging mode includes the following steps:

[0112] S7: Collects information on electric bicycles and basic parameters of household circuits.

[0113] Electric bicycle information refers to core data related to charging, including model, battery model, rated voltage, rated current, and total battery capacity.

[0114] The electric bicycle information is obtained by scanning the QR code on the bicycle using a pre-set scanner. The content displayed after scanning the QR code corresponds to the electric bicycle information.

[0115] Basic parameters of household circuits refer to the safe operating parameters of household power supply circuits. These parameters are acquired in real time by circuit parameter acquisition modules (voltage sensors, current sensors) installed near household charging devices.

[0116] S70: Obtain vehicle charging compatibility features based on electric bicycle information.

[0117] Vehicle charging compatibility features refer to the charging requirements parameters corresponding to a specific vehicle model, namely the allowable charging voltage range, current range, and maximum compatibility power of the vehicle model's battery.

[0118] The pre-set vehicle model charging comparison table allows users to look up the charging compatibility features of electric bicycles. The table records the charging voltage range, current range, and maximum compatible power for different electric bicycle models. The comparison content in the vehicle model charging comparison table is compiled and recorded by those skilled in the art after collecting and measuring the battery parameters of mainstream electric bicycles on the market and combining them with the battery specification manuals provided by the manufacturers. It will not be elaborated here.

[0119] S71: Determine home charging power by combining vehicle charging compatibility features and basic home circuit parameters.

[0120] Home charging power refers to the actual charging power used in home mode. Home charging power is calculated as the minimum of the maximum compatible power in the vehicle's charging adaptation characteristics and the maximum allowable load power in the basic parameters of the home circuit.

[0121] Among them, the maximum compatible power of the vehicle model comes from the charging compatibility characteristics of the electric bicycle model (the charging compatibility characteristics include the maximum compatible power of the vehicle model, such as the maximum compatible power of a certain vehicle model battery being marked as 800W), and the maximum allowable load power of the household circuit is calculated through the basic parameters of the household circuit (maximum allowable load power of the household circuit = rated voltage of the household circuit × maximum allowable current of the circuit).

[0122] S72: Configure charging parameters based on vehicle model charging compatibility characteristics and home charging power.

[0123] Charging parameters refer to the specific control parameters during the charging process, including charging voltage, charging current, and charging cutoff conditions. These charging parameters are determined using a pre-set vehicle model charging reference table. This table records the specific charging parameters corresponding to different vehicle model charging compatibility characteristics and home charging power combinations. The content of the reference table was compiled by those skilled in the art based on vehicle battery specifications, measured home charging power data, and safe charging standards, and will not be elaborated upon here.

[0124] S73: Controls a preset charging device to perform charging operations based on charging parameters.

[0125] A charging device refers to a charging hardware device in home use, including a fixed charger, a charging interface, and a circuit protection module, which is installed in the charging area.

[0126] The charging device is controlled to charge the electric bicycle according to the charging parameters.

[0127] The outdoor charging mode includes the following steps:

[0128] S8: Collect outdoor power grid load parameters and images of objects inside the automatic charging basin.

[0129] Outdoor power grid load parameters refer to the real-time operating data of outdoor public power grids, including total load power, remaining load capacity, and voltage stability; outdoor power grid load parameters are collected in real time by the power grid parameter monitoring module of outdoor charging stations.

[0130] The image of the object inside the charging basin refers to a high-definition, real-time image of the object inside the automatic charging basin. This image is captured by a close-up camera built into the charging basin.

[0131] S80: Scan and identify a preset charging area from an image of an object inside the basin to extract the object's appearance features.

[0132] Object appearance features refer to the detailed features used to identify vehicle models. These features are extracted from images of objects within a basin using image recognition algorithms. Image recognition algorithms are common knowledge in this field and will not be elaborated upon here.

[0133] S81: Match charging vehicle information based on object appearance features.

[0134] Charging vehicle model information refers to the specific electric bicycle model determined in outdoor mode. A pre-set feature model lookup table can be used to look up the charging vehicle model information corresponding to the object's appearance characteristics. This table records the specific models corresponding to the appearance characteristics of different electric bicycles. The content of the lookup table was compiled by those skilled in the art after collecting appearance feature data of mainstream electric bicycles on the market, establishing a one-to-one correspondence between feature parameters and models, and will not be elaborated upon here.

[0135] S82: Generates outdoor charging power based on outdoor power grid load parameters and charging vehicle information, and collects user authorization information.

[0136] Outdoor charging power refers to the actual charging power used in outdoor mode. Outdoor charging power is obtained by taking the minimum value between the maximum compatible power of the vehicle model in the charging vehicle information and the remaining load power of the outdoor power grid in the outdoor power grid load parameters.

[0137] Among them, the maximum compatible power of the vehicle model comes from the charging compatibility characteristics corresponding to the charging vehicle model information (e.g., a certain outdoor charging vehicle model is marked with a maximum compatible power of 1000W); the remaining load power of the outdoor power grid is calculated through the load parameters of the outdoor power grid (remaining load power of the outdoor power grid = total rated load power of the outdoor power grid - the load power currently occupied by the power grid).

[0138] User authorization information refers to the user's instruction to allow the system to automatically charge. This authorization information is generated by the user scanning a QR code and clicking the "Confirm Charging" button via the app, and is transmitted to the system in real time.

[0139] The specific app used is pre-set by those skilled in the art and will not be elaborated here.

[0140] S83: In response to user authorization information, a preset outdoor charging device is inserted into the charging port 3 of the electric bicycle using a preset charging control method, and outdoor charging operation is performed with charging power.

[0141] The charging control method refers to the standardized operating procedure in outdoor mode that automatically inserts the charging interface into the charging port 3 of the electric bicycle. Specific charging control methods will be detailed in subsequent sections S830 to S8325, and will not be elaborated upon here.

[0142] Outdoor charging devices refer to hardware equipment used in outdoor scenarios to automatically connect and charge electric bicycles via charging interfaces. Their core components include a flexible outer tube 1 (containing a built-in charging cable, a drawstring 2, and an air blowing pipe), a drawstring drive mechanism, a charging interface, and a control module. This device responds to commands from the charging control method, adjusting the bending angle of the flexible outer tube 1 via the drawstring drive mechanism to automatically insert the charging interface into the electric bicycle's charging port 3. It provides stable charging to the electric bicycle at a defined outdoor charging power and also features auxiliary functions such as foreign object removal and interface connection status monitoring.

[0143] After receiving the user's authorization information, the outdoor charging device needs to be inserted into the charging port 3 of the electric bicycle using the charging control method, and then the electric bicycle will be charged outdoors using the charging power.

[0144] The charging control method includes the following steps:

[0145] S830: Captures images of the charging port area of ​​electric bicycles.

[0146] The charging port area image refers to a high-resolution image of the charging port 3 of the electric bicycle. The charging port area image is captured by a camera, focusing on the area around the charging port 3.

[0147] S831: When the charging port area image contains preset charging interface features, the charging port position parameters are retrieved based on the charging vehicle model information.

[0148] The charging interface features refer to the external shape of the charging port 3 on the electric bicycle. The charging interface features are predetermined by those skilled in the art and will not be described in detail here.

[0149] The charging port position parameter refers to the fixed position data of charging port 3 on the electric bicycle relative to the vehicle body. This parameter can be obtained by querying the electric bicycle model information. The charging port position parameter is included in the electric bicycle model information.

[0150] When the image of the charging port area contains the features of the charging interface, it means that the charging port 3 is not blocked, and the position parameters of the charging port can be retrieved directly.

[0151] S8310: Combines charging port location parameters and charging port area image to determine the three-dimensional coordinates of the charging port.

[0152] The three-dimensional coordinates of the charging port refer to the three-dimensional position of charging port 3 in physical space. These coordinates are obtained by combining a pre-defined vehicle model charging port coordinate library with depth data from the charging port area image. This library records the X / Y plane relative coordinates of charging port 3 to a vehicle body reference point for different charging vehicle models. During determination, the relative coordinates of charging port 3 for the current charging vehicle model are first retrieved from the library. Then, the Z-axis distance (depth) between charging port 3 and the camera is calculated using the depth information of the charging port area image (captured by a camera with depth-sensing capabilities). Finally, the relative coordinates are converted into three-dimensional physical space coordinates with the charging device as the origin (X / Y axes correspond to the horizontal plane, and the Z-axis corresponds to the vertical depth), i.e., the three-dimensional coordinates of the charging port. The vehicle model charging port coordinate library was compiled by those skilled in the art after measuring the positions of charging port 3 on mainstream vehicle models and recording the coordinate data relative to the reference point; details are omitted here.

[0153] S8311: Obtain the bending angle of the outer tube based on the three-dimensional coordinates of the charging port.

[0154] The outer tube bending angle refers to the angle at which the flexible outer tube 1 needs to be bent. The outer tube bending angle is determined by a preset coordinate angle lookup table, which records the outer tube bending angle parameters corresponding to different three-dimensional coordinates of the charging port.

[0155] For example, when the three-dimensional coordinates of the charging port are (X=30cm, Y=20cm, Z=15cm), the table records a horizontal bend of 30° and a vertical bend of 15°. The contents of the reference table were compiled by those skilled in the art through testing the outer sleeve connection at different three-dimensional coordinate positions, recording the bending angle data that makes the charging interface accurately aligned with the charging port 3, and will not be elaborated here.

[0156] S8312: Generate pumping parameters based on the outer tube bending angle.

[0157] The pulling parameters refer to the action parameters controlling the wire drawing rope drive mechanism, including the tension length, tension speed, and pause time of the wire drawing rope 2. The pulling parameters are determined through a preset angle pulling reference table, which records the pulling parameters of the wire drawing rope 2 corresponding to different bending angles of the outer tube. The contents of the reference table were compiled by those skilled in the art through simulated outer tube action tests at different bending angles, recording the action parameters of the wire drawing rope 2 that enabled the outer tube to accurately reach the target bending angle; details will not be elaborated here.

[0158] S8313: Control the preset flexible outer tube 1 to move to the three-dimensional coordinate of the charging port, and control the preset wire drawing rope drive mechanism in the flexible outer tube 1 to pull the wire drawing rope 2 with the pulling parameter, so that the flexible outer tube 1 bends from a straight state towards the charging port 3, so as to insert the charging interface of the flexible outer tube 1 into the charging port 3 of the electric bicycle for charging.

[0159] The flexible outer sleeve 1 refers to the bendable component of the outdoor charging device, which internally wraps the charging cable, the pull cord 2, and the air blowing tube for precise connection to the charging port 3.

[0160] The wire drawing rope drive mechanism refers to the drive component that controls the bending of the flexible outer sleeve 1, including a micro motor, transmission gears, and wire drawing rope 2.

[0161] The flexible outer tube 1 is moved to the three-dimensional coordinate position of the charging port, and the wire drawing drive mechanism is controlled to pull the wire drawing rope 2 with the pulling parameter so that the flexible outer tube 1 bends from a straight state toward the charging port 3, thereby inserting the charging interface of the flexible outer tube 1 into the charging port 3 of the electric bicycle for charging operation.

[0162] The charging control method also includes the following steps:

[0163] S832: When the charging port area image does not contain the preset charging interface features, the occupant features of the charging port 3 are obtained by identifying the occupant from the charging port area image.

[0164] The obstruction features refer to the characteristics of the object obstructing the charging port 3, which are divided into foreign object features (dust, leaves, paper scraps) and charging port cover features (original factory-matched cover). By analyzing the image of the charging port area through image recognition algorithms, the shape, size, and color features of the obstruction can be extracted, i.e., the obstruction features. Image recognition algorithms are common knowledge in this field and will not be elaborated here.

[0165] When the charging port area image does not contain charging interface features, it means that charging port 3 is blocked. The features of the obstruction need to be identified first for subsequent steps.

[0166] S8320: When the obstruction features are preset foreign object features, control the preset air blowing pipe in the flexible outer sleeve 1 to blow airflow around the charging port 3 with a preset blowing force value, and collect the air blowing image of the charging port.

[0167] Foreign object characteristics refer to the characteristics of obstructions on the non-charging port cover.

[0168] Whether a feature is a foreign object can be determined by comparing it with a pre-defined obstruction feature library. This library stores two categories of features: foreign object features and charging port cover features. During the determination, the collected obstruction feature is compared with each of the two categories in the library. If it only matches a foreign object feature and has no overlap with the charging port cover feature, then the obstruction feature is determined to be a foreign object feature. This feature library was created by those skilled in the art by collecting samples of common obstructions around the charging port 3, extracting feature parameters through image recognition, and then classifying and organizing them; details will not be elaborated here.

[0169] The air blowing tube refers to the miniature air tube inside the flexible outer sleeve 1, which is used to blow air into the charging port 3 to remove foreign objects. It is integrated with the flexible outer sleeve 1.

[0170] The blowing force value refers to the blowing pressure and airflow velocity of the blowing pipeline. The blowing force value is preset by those skilled in the art and will not be elaborated here.

[0171] The charging port air-blowing image refers to an image of the charging port area that is re-captured after air has been blown into the air-blowing tube. The charging port air-blowing image is captured by a camera.

[0172] When the obstruction is a foreign object, the air blowing pipe inside the flexible outer sleeve 1 needs to be controlled to blow airflow around the charging port 3 with the blowing force value, and the air blowing image of the charging port needs to be collected for subsequent steps.

[0173] S8321: When the air blowing image of the charging port does not contain foreign object features, control the air blowing line to stop blowing and complete the removal of foreign objects.

[0174] When the air blowing image of the charging port does not contain any foreign object features, it indicates that the foreign object has been removed. The air blowing line should be stopped to complete the removal of the foreign object.

[0175] If the image from the air blowing into the charging port still contains foreign object features, it means that the foreign object has not been removed. The air blowing operation needs to be continued until the preset blowing time. If it still exists, a foreign object obstruction prompt will be sent to the user's terminal.

[0176] S8322: When the obstruction feature is a preset charging port cover feature or the foreign object is removed, the charging port cover feature is scanned and identified from the charging port area image to obtain the location of the charging port cover.

[0177] The charging port cover features refer to the original charging port cover features of electric bicycles. The determination method is the same as that of S8320 above, and will not be repeated here.

[0178] The charging port cover position refers to the location of the charging port cover. The method for determining the charging port cover position is the same as that described in S8310 above, and will not be repeated here.

[0179] When the obstruction is a charging port cover or the foreign object has been removed, it means that the subsequent opening operation can proceed. The location of the charging port cover must be identified first for subsequent steps.

[0180] S8323: Generates parameters for opening the cover using the pull cord based on the position of the charging port cover.

[0181] The wire-pulling cover opening parameters refer to the action parameters controlling the wire-pulling drive mechanism to open the cover. These parameters are determined using a preset cover opening parameter reference table. This table records the wire-pulling cover opening action parameters corresponding to different charging port cover positions, including the positional offset of the wire-pulling hook point relative to the cover, the pulling angle, the pulling force threshold, the pulling speed, and the dwell time after pulling. The contents of the reference table were compiled by those skilled in the art based on multiple opening tests to obtain the optimal action parameters for stable cover opening for different vehicle models' charging port cover positions, and will not be elaborated upon here.

[0182] S8324: Control the pre-set wire drawing rope drive mechanism inside the flexible outer tube 1 to tighten the wire drawing rope 2 with the wire drawing rope opening parameters, so that the flexible outer tube 1 bends towards the lid and acquires real-time images of the lid area.

[0183] The real-time image of the cover area refers to the image of the cover and charging port 3 area continuously captured during the process of the flexible outer sleeve 1 attempting to open the cover. The real-time image of the cover area is obtained by the camera in real time.

[0184] The wire drawing rope drive mechanism is controlled to tighten the wire drawing rope 2 with the wire drawing rope opening parameters so that the flexible outer tube 1 bends towards the lid and real-time images of the lid area are acquired for subsequent steps.

[0185] S8325: When the real-time image of the cover area contains the charging interface feature, control the wire drawing drive mechanism to insert into the charging port 3 so as to insert the charging interface of the flexible outer sleeve 1 into the charging port 3 of the electric bicycle for charging.

[0186] When the real-time image of the cover area contains the charging interface feature, it indicates that the cover opening operation has been completed. It is necessary to control the wire pulling drive mechanism to insert into the charging port 3, thereby driving the charging interface of the flexible outer sleeve 1 to be inserted into the charging port 3 of the electric bicycle for charging.

[0187] It also includes the following steps:

[0188] S84: Collect user charging settings parameters.

[0189] User charging settings parameters refer to the charging preferences that users manually set according to their needs, including target capacity, charging time limits, and priorities (such as "energy saving priority"). These user charging settings parameters are obtained by the user through the app.

[0190] S840: Generates user charging plans based on user charging settings parameters and vehicle model information.

[0191] A user charging plan refers to a personalized charging plan set for an individual user. The user charging plan is generated by a preset user charging plan lookup table, which records the personalized charging plan corresponding to different combinations of user charging settings parameters (such as user-set charging time preferences, target capacity ratio, charging mode selection, etc.) and vehicle information (such as vehicle charging compatibility features, battery capacity, etc.).

[0192] For example, when a user sets "charging from 22:00 to 6:00 the next day, charging to 90% capacity" and the relevant parameters of the vehicle model are a battery capacity of 20Ah and a maximum compatible power of 800W, the corresponding record in the table is "start charging at 22:00, charge at 600W to 19Ah (90% capacity) and then automatically disconnect the power, monitoring the battery temperature in real time during the process"; the content of the reference table was compiled and optimized by those skilled in the art after combining user habit data, vehicle battery characteristics and safe charging standards, and after multi-scenario testing, and will not be elaborated here.

[0193] S841: Obtain the power adjustment curve based on the user's charging plan.

[0194] A power adjustment curve is a continuous power variation curve formed during the execution of a user's charging plan, with time or real-time battery level as the horizontal axis and charging power as the vertical axis. It is generated by extracting data from the user's charging plan, including the battery's rated voltage, battery capacity, user-set charging time, target charge percentage, and the vehicle's maximum compatible power. Then, the total required charging amount (total charging amount = battery capacity × (target charge percentage - current charge percentage)) and the theoretical average power (average power = (total charging amount × battery rated voltage) ÷ charging time, actual calculations need to consider power unit conversion and vehicle power constraints) are performed. Power is then allocated in stages according to battery charging characteristics: initially, 80% to 90% of the average power is used to avoid high current impact on the battery; in the middle stage, 100% of the average power is used to ensure charging efficiency; in the final stage, the power is reduced to 30% to 50% of the average power to prevent overcharging; finally, if the calculated power exceeds the vehicle's maximum compatible power at a certain stage, the maximum compatible power is taken as the actual power for that stage. This results in a continuous power adjustment curve with charging time (or real-time battery level) as the horizontal axis and staged power as the vertical axis.

[0195] S842: Adjusts outdoor charging power based on power adjustment curve and collects battery temperature change values.

[0196] The battery temperature change value refers to the real-time change in battery temperature during charging. This value is collected in real-time by a temperature sensor built into the electric bicycle battery, and the difference between the measured temperature and the initial temperature is calculated.

[0197] The outdoor charging power is adjusted based on the obtained power adjustment curve, and the charging operation is performed with the adjusted outdoor charging power. At the same time, the battery temperature change value is collected for subsequent steps.

[0198] S843: Retrieves the charging temperature threshold from the user's charging plan and compares it with the battery temperature change value.

[0199] The charging temperature threshold refers to the highest permissible temperature for safe charging of a battery. This threshold can be retrieved from the user's charging plan. The user's charging plan includes the charging temperature threshold.

[0200] The obtained charging temperature threshold is compared with the battery temperature change value to determine whether the temperature is abnormal.

[0201] S844: When the battery temperature change exceeds the charging temperature threshold, switch to the preset safe charging mode and notify the user.

[0202] The safe charging mode is a protection mode activated when the battery temperature exceeds a threshold. The safe charging mode is preset by those skilled in the art and will not be described in detail here.

[0203] When the battery temperature change exceeds the charging temperature threshold, it indicates that the battery temperature is abnormal during charging. It is necessary to switch to safe charging mode and notify the user.

[0204] It also includes the following steps:

[0205] S85: After the flexible outer sleeve 1 is inserted into the charging port 3, the interface connection status data is collected.

[0206] Interface connection status data refers to real-time data after the charging interface of the flexible outer sleeve 1 is connected to the charging port 3 of the electric bicycle, including contact voltage drop and circuit current stability. The interface connection status data is collected by the voltage sensor and current sensor built into the charging interface.

[0207] After the flexible outer sleeve 1 is inserted into the charging port 3, the interface connection status data needs to be collected for subsequent steps.

[0208] S850: Obtains contact resistance value based on interface connection status data.

[0209] The contact resistance value refers to the resistance between the charging interface and the contact point of charging port 3. The contact resistance value can be calculated by understanding the interface connection status data and applying Ohm's law.

[0210] S851: Compare the contact resistance value with the preset safety resistance threshold.

[0211] The safety resistance threshold refers to the maximum permissible contact resistance value. The safety resistance threshold is preset by those skilled in the art and will not be elaborated upon here.

[0212] The charging contact status can be determined by judging the relationship between the contact resistance value and the safe resistance threshold.

[0213] S852: When the contact resistance value exceeds the safety resistance threshold, a connection failure warning will be reported.

[0214] When the contact resistance value exceeds the safety resistance threshold, it indicates an abnormal resistance, and a connection malfunction warning must be reported for subsequent steps.

[0215] S853: In response to a connection failure warning, the control wire drawing drive mechanism is fine-tuned with preset connection fine-tuning parameters and the interface connection status data is updated.

[0216] Connection fine-tuning parameters refer to the fine-tuning parameters used to correct poor connections, including the left and right offset of the interface, rotation angle, and insertion depth. These connection fine-tuning parameters are preset by those skilled in the art and will not be elaborated upon here.

[0217] When a connection failure message is received, the wire drawing drive mechanism needs to be controlled to fine-tune the connection with the connection fine-tuning parameters and update the interface connection status data, thereby repeating S85 to S853.

[0218] If the number of repetitions exceeds a preset threshold, the charging operation will stop and a charging error message will be reported. The threshold number is preset by those skilled in the art and will not be elaborated here.

[0219] It also includes the following steps:

[0220] S86: Obtain the user's requested charging value based on user authorization information.

[0221] User demand charging value refers to the user's desired charging target. It is obtained by directly parsing the user's preset charging target parameters contained in the user's authorization information. These parameters are the user's explicitly set desired charging targets during the authorization process, and thus constitute the user demand charging value.

[0222] S860: Combines user demand for charging value and charging vehicle information to determine the target charging capacity.

[0223] The target charging capacity refers to the actual amount of electricity that needs to be charged.

[0224] By understanding the vehicle model information for charging, you can determine the vehicle's total battery capacity. This information includes the vehicle's total battery capacity. The target charging capacity is then calculated using the formula: Target charging capacity = Total battery capacity × Percentage of user's desired charging value (e.g., 10Ah battery × 80% = 8Ah).

[0225] S861: Collects battery charging power.

[0226] Battery charge level refers to the amount of electricity the battery has accumulated during the charging process. The battery charge level is calculated by the battery management system (BMS) based on the charging current and time, using a charge integration algorithm (charge = current × time). The battery management system and the charge integration algorithm are well-known in the field and will not be elaborated upon here.

[0227] S862: When the battery charge level matches the target charge level, stop charging and push a charging completion notification to the user terminal.

[0228] When the battery charge level matches the target charge level, it indicates that the user's charging needs have been met, and charging can be stopped, sending a charging completion notification to the user's device.

[0229] It also includes the following steps:

[0230] S9: Collect initial battery state data before charging begins.

[0231] Battery initial state data refers to the core state parameters of the battery before charging begins, including initial charge, initial temperature, and battery health; these are collected by the battery management system within 10 seconds before charging begins.

[0232] S90: Calculates estimated charging time based on initial battery state data.

[0233] Estimated charging time refers to the time required to reach the target charge level from the initial charge level. This is achieved by first extracting the initial charge percentage from the battery's initial state data, combining this with the user's desired charging value (target charge percentage) determined in S86, the battery's rated capacity and voltage from the vehicle model information, and the adjusted outdoor actual charging power in S842. The total required charging capacity (battery rated capacity × difference between target and initial charge percentage) is then calculated, converted into total required charging energy (total required charging capacity × battery rated voltage). Finally, incorporating a charging efficiency of 85% to 95%, the estimated charging time is calculated using the formula: Estimated Charging Time = Total Required Charging Energy ÷ (Actual Outdoor Charging Power × Charging Efficiency). This gives the time required to reach the target charge level from the initial charge level, i.e., the estimated charging time.

[0234] S91: Generate a charging schedule based on the estimated charging time.

[0235] A charging schedule is a time-to-energy mapping table generated based on the estimated charging time. The charging schedule is created by first dividing the estimated charging time calculated by S90 into equal time intervals; then calculating the total energy difference from the initial energy level to the target energy level and distributing this difference evenly across each time interval; finally, starting from the initial energy level, the energy increment for each time interval is accumulated segment by segment and mapped to specific times. For example, 0-30 minutes corresponds to 30%-42.5%, 30-60 minutes to 42.5%-55%, 60-90 minutes to 55%-67.5%, and 90-120 minutes to 67.5%-80%. By corresponding the "time intervals" with the "corresponding energy ranges," the charging schedule can be obtained.

[0236] S92: Obtain a charging progress estimate based on the charging progress schedule.

[0237] The estimated charging progress refers to the amount of electricity that should be generated at a certain point in time. The estimated charging progress is calculated by matching the time intervals in the charging progress schedule. First, the time interval to which the target time point belongs is located. Then, based on the electricity change pattern within that interval, the expected electricity level is calculated as: (Starting electricity level of the interval + (Target time - Starting time of the interval)) × Electricity increment per minute.

[0238] S93: Collects real-time charging progress.

[0239] Real-time charging progress refers to the actual current battery level during the charging process. This progress is collected in real-time by the battery management system.

[0240] S94: When the actual charging progress deviates from the estimated charging progress, report a charging anomaly alarm.

[0241] Charging anomaly alarm information refers to the alarm information generated by the system when the real-time charging progress deviates from the estimated value (the specific deviation value is set in advance by those skilled in the art and will not be elaborated here).

[0242] When the actual charging progress deviates from the estimated charging progress, it indicates that an abnormality has occurred in the charging process, and an alarm for the abnormal charging should be reported.

[0243] Based on the same inventive concept, embodiments of the present invention provide an intelligent charging system for electric bicycles, comprising:

[0244] The data acquisition module is used to collect images of the charging shed, environmental parameters, the outline of objects inside the basin, weight data inside the basin, electric bicycle information, basic parameters of the household circuit, load parameters of the outdoor power grid, images of objects inside the basin, user authorization information, images of the charging port area, images of air blowing into the charging port, real-time images of the cover area, user charging settings parameters, battery temperature change values, interface connection status data, battery charging capacity, battery initial status data, and real-time charging progress.

[0245] A memory for storing a program that implements a smart charging method for electric bicycles;

[0246] The processor is used to load and execute programs stored in memory.

[0247] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional modules is used as an example. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. The specific working process of the system, device, and unit described above can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0248] The above description is merely a preferred embodiment of the present invention. The scope of protection of the present invention is not limited to the above embodiments. All technical solutions falling within the scope of the present invention's concept are within the scope of protection of the present invention. It should be noted that for those skilled in the art, any improvements and modifications made without departing from the principles of the present invention should also be considered within the scope of protection of the present invention.

Claims

1. A smart charging method for electric bicycles, characterized in that, include: Collect image information and environmental parameter information of the charging shed in the preset charging area; Charging scene features are extracted based on charging shed image information, and environmental parameter information is combined to determine the charging scene type; The charging working mode is determined based on the type of charging scenario, including home fixed charging mode and outdoor charging mode; Collect data on the outline of objects inside the automatic charging basin and the weight data inside the basin. Based on the outline of the objects inside the basin and the weight data inside the basin, it can be determined whether there is an electric bicycle parked there. When an electric bicycle is detected to be parked, it is charged based on the charging operating mode. The outdoor charging modes include: Collect user authorization information; In response to user authorization information, a preset outdoor charging device is inserted into the charging port (3) of the electric bicycle using a preset charging control method; The charging control method includes: Capture images of the charging port area of ​​electric bicycles; When the charging port area image does not contain the preset charging port features, the occlusion of the charging port (3) is identified from the charging port area image to obtain the occlusion features. When the obstruction features are preset foreign object features, the preset air blowing pipe inside the flexible outer sleeve (1) is controlled to blow air around the charging port (3) with a preset blowing force value, and the air blowing image of the charging port is collected. When the air blowing image of the charging port does not contain any foreign object features, the air blowing line is controlled to stop blowing and the foreign object is removed. When the obstruction features are the preset charging port cover features or the foreign object is removed, the charging port cover features are scanned and identified from the charging port area image to obtain the location of the charging port cover. The parameters for opening the cover by pulling the wire are generated based on the position of the charging port cover; The wire drawing rope drive mechanism preset in the flexible outer tube (1) is controlled to tighten the wire drawing rope (2) with the wire drawing rope opening parameters, so that the flexible outer tube (1) bends towards the lid and real-time images of the lid area are collected. When the real-time image of the cover area contains charging interface features, the wire drawing drive mechanism is controlled to insert into the charging port (3) to insert the charging interface of the flexible outer sleeve (1) into the charging port (3) of the electric bicycle for charging.

2. The intelligent charging method for an electric bicycle according to claim 1, characterized in that, The home fixed charging mode includes: Collect information on electric bicycles and basic parameters of household circuits; Based on electric bicycle information, obtain vehicle charging compatibility characteristics; The home charging power is determined by combining the vehicle's charging compatibility characteristics and the basic parameters of the home circuit. Configure charging parameters based on vehicle charging compatibility characteristics and home charging power; The charging device is controlled to perform charging operations based on the charging parameters.

3. The intelligent charging method for an electric bicycle according to claim 2, characterized in that, The outdoor charging mode also includes: Collect outdoor power grid load parameters and images of objects inside the automatic charging basin; The preset charging area is scanned and identified from the image of the object inside the basin to extract the object's appearance features. Based on the object's appearance features, match the charging vehicle model information; The system generates outdoor charging power based on outdoor power grid load parameters and charging vehicle vehicle information, and collects user authorization information. In response to user authorization information, the preset outdoor charging device is inserted into the charging port (3) of the electric bicycle using a preset charging control method, and outdoor charging operation is performed with charging power.

4. The intelligent charging method for an electric bicycle according to claim 3, characterized in that, The charging control method further includes: When the image of the charging port area contains preset charging port features, the charging port position parameters are retrieved based on the vehicle model information. The three-dimensional coordinates of the charging port are determined by combining the charging port location parameters and the image of the charging port area. The bending angle of the outer sleeve is obtained based on the three-dimensional coordinates of the charging port; The tumbling parameters are generated based on the bending angle of the outer tube. The preset flexible outer tube (1) is moved to the three-dimensional coordinate of the charging port, and the preset wire drawing drive mechanism in the flexible outer tube (1) is controlled to pull the wire drawing rope (2) with the pulling parameter, so that the flexible outer tube (1) bends from the straight state to the charging port (3) so that the charging interface of the flexible outer tube (1) is inserted into the charging port (3) of the electric bicycle for charging.

5. The intelligent charging method for an electric bicycle according to claim 3, characterized in that, Also includes: Collect user charging settings parameters; Generate a user charging plan based on user charging settings and vehicle model information; The power adjustment curve is obtained based on the user's charging plan; The power adjustment curve is used to adjust the outdoor charging power and collect battery temperature change values. Retrieve the charging temperature threshold from the user's charging plan and compare it with the battery temperature change value; When the battery temperature change exceeds the charging temperature threshold, the system switches to the preset safe charging mode and notifies the user.

6. The intelligent charging method for an electric bicycle according to claim 4, characterized in that, Also includes: After the flexible outer tube (1) is inserted into the charging port (3), the interface connection status data is collected; The contact resistance value is obtained based on the interface connection status data; The contact resistance value is compared with the preset safety resistance threshold. When the contact resistance value exceeds the safety resistance threshold, a connection failure warning will be reported. In response to a connection failure warning, the control wire drawing drive mechanism performs fine-tuning of the connection using preset connection fine-tuning parameters and updates the interface connection status data.

7. The intelligent charging method for an electric bicycle according to claim 5, characterized in that, Also includes: Based on user authorization information, obtain the user's requested charging value; The target charging capacity is determined by combining user demand for charging value and information about the vehicle model being charged. Collect battery charging power; When the battery charge level matches the target charge level, charging stops and a charging completion notification is sent to the user's device.

8. The intelligent charging method for an electric bicycle according to claim 7, characterized in that, Also includes: Collect initial battery state data before charging begins; Estimated charging time is calculated based on initial battery state data; A charging schedule is generated based on the estimated charging time. The charging progress estimate is obtained based on the charging progress schedule. Collect real-time charging progress; When the actual charging progress deviates from the estimated charging progress, an alarm message for charging anomalies will be reported.

9. An intelligent charging system for an electric bicycle, characterized in that, include: The acquisition module is used to collect image information of the charging shed, environmental parameter information, the outline of objects inside the basin, and weight data inside the basin. A memory for storing a program that implements a smart charging method for an electric bicycle as described in any one of claims 1 to 8; The processor is used to load and execute programs stored in memory.

Images