A wireless charging control method and device based on a municipal system

Abstract

This application relates to the technical field of vehicle charging, and in particular, to a wireless charging control method based on a municipal system, including: obtaining vehicle power data and vehicle location data in a city, determining corresponding vehicles in need of charging, and retrieving real-time urban traffic flow data and charging station data; determining corresponding route data based on the vehicle location data, urban traffic flow data, and charging station data corresponding to the vehicle in need of charging, and sending the route data to the user of the vehicle in need of charging; after the vehicle in need of charging arrives at the designated charging area of the charging station, charging the vehicle in need of charging based on the received vehicle charging data sent by the user. This application solves the problem of low charging resource scheduling efficiency in related technologies.

Description

Technical Field

[0001] This application relates to the technical field of vehicle charging, and particularly to a wireless charging control method based on a municipal system. Background Art

[0002] With the rapid development of new energy vehicles, the construction and optimization of charging infrastructure have become increasingly important. Although the traditional wired charging method is reliable, there are indeed some inconveniences in practical applications.

[0003] The problems of the traditional wired charging method are as follows: First, it occupies space. Fixed charging piles usually require a certain amount of space for installation, especially in parking lots or by the roadside, which may occupy valuable parking spaces. Second, it lacks flexibility. Since the charging pile is fixed, it means that it is difficult to move once installed and cannot be flexibly adjusted according to changes in charging demands. The above problems will cause problems in the utilization efficiency of urban space and the scheduling of charging resources.

[0004] As described above, the problem of low charging resource scheduling efficiency remains to be solved. Summary of the Invention

[0005] In order to achieve efficient scheduling of charging resources, this application provides a wireless charging control method and device based on a municipal system.

[0006] In a first aspect, this application provides a wireless charging control method based on a municipal system, adopting the following technical solutions:

[0007] A wireless charging control method based on a municipal system includes: obtaining vehicle power data and vehicle location data in the city, determining the corresponding vehicles to be charged, retrieving real-time urban traffic flow data and charging station data, where the urban traffic flow data includes congestion data and traffic restriction data of each road in the city, and the charging station data includes charging station locations and charging station working conditions; determining corresponding passing route data based on the vehicle location data corresponding to the vehicles to be charged, the urban traffic flow data, and the charging station data, and sending the passing route data to the users of the vehicles to be charged; after the vehicles to be charged reach the designated charging area of the charging station, based on receiving the vehicle charging data sent by the user, performing wireless charging on the vehicles to be charged based on the vehicle charging data.

[0008] By adopting the above technical solution, by real-time monitoring the vehicle power and location information, vehicles that need to be charged can be identified in a timely manner. Then, by using the real-time urban traffic flow data and charging station data, the most efficient route can be planned for the vehicles to be charged, avoiding congested sections, thereby reducing the waiting time to reach the charging station. In addition, the working status and charging demand of the charging station can be monitored in real time, and the working status of the charging station can be dynamically adjusted to avoid overcrowding of the charging station and improve resource utilization rate, so as to achieve the purpose of efficiently scheduling charging resources.

[0009] Optionally, the method further includes: obtaining the historical charging data of charging stations in the city; matching based on the historical charging data and the pre-divided time periods to determine the time period charging demand data corresponding to each time period; adjusting the opening and closing dynamics of the charging stations in the city based on the time period charging demand data.

[0010] By adopting the above technical solution, by predicting the charging demand, more available charging resources can be provided during the peak demand period, reducing the user waiting time; in addition, by dynamically adjusting the working status of the charging station according to the predicted charging demand, the charging resources can be more reasonably allocated to avoid waste of resources; at the same time, reducing the number of charging stations or reducing the output power during the period with low demand helps to reduce energy consumption and operating costs.

[0011] Optionally, after determining to obtain the historical charging data of charging stations in the city, the method further includes: retrieving the pre-trained charging prediction model; inputting the historical charging data and the vehicle power data into the charging prediction model to determine the vehicle charging peak time period of the day; controlling the charging stations in the city to be in the on state based on the vehicle charging peak time period.

[0012] By adopting the above technical solution, by accurately predicting the charging peak time period, more available charging resources can be provided during these time periods to ensure that there are sufficient charging resources available during the peak demand period, while reducing resources appropriately during the non-peak period to avoid unnecessary energy and cost waste, and can effectively manage and schedule the charging station resources to ensure the quality and efficiency of the charging service.

[0013] Optionally, the method further includes: when the vehicle to be charged approaches the charging station, determining the frequency range and power limit corresponding to the vehicle to be charged based on reading the vehicle ID; determining the charging data of the charging station based on the frequency range and power limit, where the charging data includes the frequency and power output corresponding to the charging; during the charging process, obtaining the battery temperature data of the vehicle to be charged, determining the battery temperature change range of the vehicle to be charged, and adjusting the charging data of the charging station based on the battery temperature change range.

[0014] By adopting the above technical solution, by providing the most suitable charging frequency and power for each vehicle, the charging process can be completed faster; at the same time, by monitoring the battery temperature and adjusting the charging parameters when necessary, the battery overheating can be effectively prevented, the safety of the charging process can be guaranteed, and it helps to reduce the stress and loss of the battery, thereby prolonging the service life of the battery.

[0015] Optionally, after determining the vehicle to be charged, the method further includes: retrieving a preset charging quantity threshold for the target charging area, where the city is divided into multiple charging areas, and the target charging area is the current charging area; determining whether the number of vehicles to be charged in the target charging area is greater than the charging quantity threshold; if so, sorting all the vehicles to be charged by priority and determining the corresponding charging priority for each vehicle to be charged; controlling the vehicles to be charged to go to the charging station for charging based on the charging priority.

[0016] By adopting the above technical solution, in the case of limited charging resources, arranging the vehicles to be charged to go to the charging station for charging according to the charging priority ensures that the vehicles with higher priority can obtain charging services first, and by dynamically adjusting the allocation of charging resources, the efficient utilization of the charging station is ensured; by reasonably allocating charging resources, the waiting time of users is reduced, and the overall charging experience is improved.

[0017] Optionally, during the wireless charging of the vehicle to be charged based on the vehicle charging data, the method further includes: obtaining an image of the vehicle charging port corresponding to the charging vehicle through a camera on the charging port; performing image recognition on the image of the vehicle charging port to determine the position deviation of the vehicle charging port relative to the charging port; charging the vehicle to be charged based on the position deviation.

[0018] By adopting the above technical solution, the accurate alignment between the charging port and the vehicle charging port is ensured through an automatic alignment system, the time for manual adjustment is reduced, and the efficiency of the charging process is improved; through precise position deviation adjustment, potential safety hazards caused by inaccurate alignment are avoided, and the safety of the charging process is ensured.

[0019] Optionally, the method further includes: obtaining real-time data of the charging station, where the real-time data includes charging status, battery temperature, and charging power; determining whether the charging station is in an abnormal state based on the real-time data; if so, triggering an alarm and notifying the maintenance personnel.

[0020] By adopting the above technical solution, by real-time monitoring the status of the charging station, potential safety hazards can be discovered and processed in a timely manner, ensuring the safety of the charging process; by timely handling abnormal situations, the interruption of the charging process is avoided, ensuring the continuity and efficiency of the charging process.

[0021] In a second aspect, the present application provides a wireless charging control device based on a municipal system, adopting the following technical solution:

[0022] A wireless charging control device based on a municipal system, comprising:

[0023] A vehicle to be charged determination module, which acquires vehicle power data and vehicle position data in the city, is used to determine the corresponding vehicle to be charged, and retrieves real-time urban traffic flow data and charging station data. Among them, the urban traffic flow data includes congestion data and traffic restriction data of each road in the city, and the charging station data includes the location of the charging station and the working conditions of the charging station;

[0024] A travel route data determination module, which is based on the vehicle position data corresponding to the vehicle to be charged, the urban traffic flow data and the charging station data to determine the corresponding travel route data, and sends the travel route data to the user of the vehicle to be charged;

[0025] A charging control module, after the vehicle to be charged reaches the designated charging area of the charging station, based on receiving the vehicle charging data sent by the user, wirelessly charges the vehicle to be charged based on the vehicle charging data.

[0026] In a third aspect, the present application provides a wireless charging control method based on a municipal system, adopting the following technical solution:

[0027] A wireless charging control method based on a municipal system, comprising a processor, and a program of the wireless charging control method based on a municipal system described in any one of the above is run in the processor.

[0028] In a fourth aspect, the present application provides a storage medium, adopting the following technical solution:

[0029] A storage medium stores a program of the wireless charging control method based on a municipal system described in any one of the above.

[0030] In summary, the present application includes at least one of the following beneficial technical effects: By real-time monitoring of vehicle power and position information, vehicles that need to be charged can be identified in a timely manner. Then, by using real-time urban traffic flow data and charging station data, the most efficient travel route can be planned for the vehicle to be charged, avoiding congested sections, thereby reducing the waiting time for reaching the charging station. In addition, the working status and charging demand of the charging station can be monitored in real time, and the working status of the charging station can be dynamically adjusted to avoid overcrowding of the charging station and improve resource utilization rate, so as to achieve the purpose of efficiently scheduling charging resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1It is a flowchart of a wireless charging control method based on a municipal system shown according to an exemplary embodiment;

[0032] Figure 2 It is a structural block diagram of a wireless charging control device based on a municipal system shown according to an exemplary embodiment. Detailed implementation manners

[0033] The following details the implementation manners of the present application, and the examples of the implementation manners are shown in the drawings.

[0034] In the description of this specification, the description with reference to the terms "certain implementation manners", "one implementation manner", "some implementation manners", "illustrative implementation manners", "examples", "specific examples", or "some examples" means that the specific features, structures, materials, or characteristics described in connection with the implementation manner or example are included in at least one implementation manner or example of the present application. In this specification, the schematic expressions of the above terms do not necessarily refer to the same implementation manner or example. Moreover, the specific features, structures, materials, or characteristics described can be combined in a suitable manner in any one or more implementation manners or examples.

[0035] The embodiments of the present application disclose a wireless charging control method based on a municipal system. Referring to Figure 1 , it includes:

[0036] S100, obtaining the vehicle power data and vehicle position data in the city, determining the corresponding vehicles to be charged, and retrieving the real-time urban traffic flow data and charging station data.

[0037] Among them, the urban traffic flow data includes the congestion data and traffic restriction data of each road in the city, and the charging station data includes the charging station location and the working conditions of the charging stations.

[0038] It should be noted here that the corresponding vehicle power data can be obtained through a battery power sensor, and whether the vehicle needs to be charged can be judged through the vehicle power data. Here, the vehicle power data can be compared with a preset power threshold. After the vehicle power data is less than the power threshold, the corresponding vehicle needs to be determined as a vehicle to be charged; and the vehicle position data corresponding to the vehicle can be obtained through a GPS positioning sensor. Through the above process, for the vehicles in the city, the number of vehicles in the city and the corresponding positions can be understood in the first time.

[0039] In addition, for the urban traffic flow data, the existing monitoring cameras and other sensor devices in the city can be used to collect traffic flow information; for different time periods, the congestion conditions of the roads and whether there are road traffic restrictions, etc., the system can understand in the first time, providing basic data support for subsequent charging scheduling.

[0040] S110. Based on the vehicle position data, urban traffic flow data, and charging station data corresponding to the vehicle to be charged, determine the corresponding travel route data, and send the travel route data to the user of the vehicle to be charged.

[0041] Among them, after determining the positions of the charging stations, the positions of the vehicles to be charged, and the congestion conditions of the roads, path planning algorithms (such as Dijkstra's algorithm) can be used in combination with the real-time traffic conditions to plan the optimal driving route for the vehicles to be charged, so as to plan the route with the highest traffic efficiency for the vehicles to be charged, avoid congested sections, and thus reduce the waiting time for reaching the charging station.

[0042] S120. After the vehicle to be charged reaches the designated charging area of the charging station, based on the vehicle charging data received from the user, wirelessly charge the vehicle to be charged based on the vehicle charging data.

[0043] Among them, after the vehicle to be charged reaches the charging position of the corresponding charging station according to the planned travel route data, the user can, based on the current charging position of the vehicle, upload the vehicle charging data that needs to be charged to the system. For example, the vehicle can choose fast charging or slow charging, or start charging immediately or at a scheduled time point; in addition, for the user to upload the vehicle charging data to the system, it can also be uploaded in advance, such as on the way when the vehicle is driving towards the charging station; after the vehicle to be charged reaches the charging position; in addition, during the charging process, when charging the vehicle to be charged, it can be charged by wireless charging, or the charging port can be controlled by a three-axis robotic arm to align with the vehicle to be charged for charging; at this time, the wireless charging and the three-axis robotic arm in the charging station can automatically charge the vehicle, realizing the automation of the charging process, reducing user operations, and improving the convenience of the charging process.

[0044] In addition, during the process of charging the vehicle to be charged, here is the process of realizing automatic charging through the charging port on the three-axis robotic arm. The specific process includes:

[0045] S1201. Based on the camera on the charging port, obtain the vehicle charging port image corresponding to the charging vehicle.

[0046] Among them, through the camera, the position information of the vehicle charging port can be accurately captured, providing data support for subsequent image recognition and position adjustment. If it is at night or in insufficient light conditions, appropriate lighting equipment is also required to ensure that the image is clearly visible.

[0047] S1202. Perform image recognition on the vehicle charging port image to determine the position deviation of the vehicle charging port relative to the charging port.

[0048] Using image processing algorithms (such as edge detection, template matching, etc.) to identify the contour and position of the vehicle charging port, it can handle different lighting conditions, occlusion situations, and vehicle color differences, ensuring accurate identification in various environments.

[0049] S1203. Based on the position deviation, control the three-axis robotic arm for adjustment.

[0050] Among them, through precise servo motors and feedback systems, millimeter-level adjustment accuracy is achieved, ensuring that the robotic arm maintains an appropriate safety distance from the vehicle during movement. Based on the position deviation information obtained through image processing, the system can automatically adjust the position of the three-axis robotic arm to ensure precise alignment of the charging port with the vehicle charging port.

[0051] By executing the process from S1201 to S1203, precise alignment between the charging port and the vehicle charging port is achieved, thereby improving the efficiency and safety of the charging process. The automated alignment process reduces the waiting time of users and enhances the charging experience.

[0052] In addition, during the scheduling process of charging resources, the following steps are also carried out:

[0053] S121. Obtain the historical charging data of charging stations in the city.

[0054] Among them, charging records are collected through the management system of the charging station, including information such as charging time, charging amount, charging frequency, etc., which are the corresponding historical charging data.

[0055] S122. Based on the historical charging data and the pre-divided time periods for matching, determine the time period charging demand data corresponding to each time period.

[0056] Among them, a day is divided into several time periods (such as morning and evening rush hours, off-peak hours, etc.), and the number of charging times and charging amounts within each time period are counted, so as to determine the time period charging demand data corresponding to different time periods.

[0057] S123. Based on the time period charging demand data, adjust the opening and closing dynamics of charging stations in the city.

[0058] Among them, the working status of the charging station is dynamically adjusted according to the predicted charging demand to meet the charging demands in different time periods.

[0059] Through the above process, more available charging resources can be provided during the demand peak period, reducing the waiting time of users. At the same time, during the period of low demand, the number of charging stations can be reduced or the output power can be lowered, so that the working status of the charging station can be dynamically adjusted, and charging resources can be more reasonably allocated to avoid waste of resources.

[0060] In addition, it should be noted that after determining to obtain the historical charging data of charging stations in the city, the method further includes:

[0061] S1211, retrieve the pre-trained charging prediction model.

[0062] Among them, the training process of the charging prediction model includes: First, collect a large amount of historical charging data, including information such as charging time, charging volume, charging frequency, and real-time vehicle battery level data. Clean and organize the collected historical charging data, remove outliers and missing values to ensure the data quality. Extract useful features from the original historical charging data, such as charging time, battery status, weather conditions, etc. These features will be used to train the model. Select appropriate machine learning algorithms (such as regression analysis, neural networks, etc.), use the training dataset to train the model, adjust the model parameters to improve the prediction accuracy, use an independent test dataset to evaluate the performance of the model, optimize the model through methods such as cross-validation to ensure that the model has good generalization ability. Finally, deploy the trained model to the actual application to predict future charging demands.

[0063] S1212, input the historical charging data and vehicle battery level data into the charging prediction model to determine the peak vehicle charging time period of the day.

[0064] Combining the historical charging data and the current vehicle battery level data as inputs makes the prediction closer to the actual situation, so that the vehicle charging situation of the day can be predicted more accurately and the peak vehicle charging time period of the day can be determined.

[0065] S1213, control the charging stations in the city to be in the on state based on the peak vehicle charging time period.

[0066] Before the predicted peak charging period, by turning on the corresponding charging stations in advance or increasing their service capabilities, the possible surge in charging demand can be handled.

[0067] By comprehensively using historical data and real-time data, combined with the prediction results of the charging prediction model, the charging station resources can be effectively managed and scheduled to ensure the quality and efficiency of charging services.

[0068] In addition, it should be noted that during the peak time period of vehicle charging demand, there are many vehicles that need to be charged in each charging area. To more reasonably regulate the charging resources, the following steps are also carried out:

[0069] S104, retrieve the preset charging quantity threshold of the target charging area.

[0070] Among them, the city is divided into multiple charging areas, and the target charging area is the current charging area; the charging quantity threshold can be adjusted according to the number of charging stations that can provide charging services in the current target charging area.

[0071] S105. Determine whether the number of vehicles to be charged in the target charging area is greater than the charging quantity threshold.

[0072] S106. If so, perform a priority ranking on all vehicles to be charged and determine the charging priority corresponding to each vehicle to be charged.

[0073] At this time, it indicates that the charging stations that can provide charging services in the target area are not enough to match the number of vehicles to be charged. During the process of priority ranking, the vehicles to be charged are ranked based on factors such as the importance of the vehicle (e.g., public service vehicles are given priority), the urgency (e.g., extremely low battery power), and the reservation status.

[0074] S107. Control the vehicles to be charged to go to the charging stations for charging based on the charging priority.

[0075] In the case of limited charging resources, through priority ranking, it is ensured that all vehicles to be charged have the opportunity to obtain charging services. By real-time monitoring and dynamically adjusting the allocation of charging resources, it is possible to effectively respond to changes in charging demand and ensure the quality and efficiency of charging services.

[0076] In addition, during the process from when the user's vehicle approaches the charging station to the charging process, the following steps are also carried out:

[0077] S111. When the vehicle to be charged approaches the charging station, determine the frequency range and power limit corresponding to the vehicle to be charged based on reading the vehicle ID.

[0078] Among them, when the vehicle to be charged approaches the charging station, the vehicle ID is read through wireless communication technologies (such as RFID, NFC, or Bluetooth), and the frequency range and power limit data of this vehicle model are queried from the database, which can ensure that the charging station can provide the most suitable charging frequency and power for different types of vehicles and improve the charging efficiency.

[0079] S112. Determine the charging data of the charging station based on the frequency range and power limit, where the charging data includes the corresponding frequency and power output for charging.

[0080] Among them, the charging station adjusts the charging frequency and power output according to the received frequency range and power limit data to meet the needs of the vehicle to be charged.

[0081] S113. During the charging process, obtain the battery temperature data of the vehicle to be charged, determine the battery temperature change range of the vehicle to be charged, and adjust the charging data of the charging station based on the battery temperature change range.

[0082] Among them, battery temperature data is obtained through the vehicle's battery management system (BMS) or the temperature sensors of the charging station itself, and the change range of the battery temperature is determined based on this data. When it is detected that the battery temperature exceeds the safe range, the charging station will automatically reduce the charging power or adjust the charging frequency to lower the battery temperature.

[0083] In addition, during the charging process of the vehicle, the system obtains the real-time data of the charging station. Among them, the real-time data includes the charging status, battery temperature, and charging power. At the same time, it can also judge whether the charging station is in an abnormal state based on the real-time data. If so, once an abnormal state is detected, an alarm will be immediately triggered and the maintenance personnel will be notified to intervene and handle it in a timely manner; through real-time monitoring and abnormal detection, the normal operation of the charging station is ensured, thereby improving the overall quality and efficiency of the charging service.

[0084] An embodiment of the present application discloses a wireless charging control device based on a municipal system. Refer to Figure 2 , including:

[0085] A vehicle to be charged determination module 200, which obtains the vehicle power data and vehicle position data in the city to determine the corresponding vehicle to be charged, and retrieves the real-time urban traffic flow data and charging station data. Among them, the urban traffic flow data includes congestion data and restricted driving data of each road in the city, and the charging station data includes the charging station location and the working conditions of the charging station;

[0086] A passing route data determination module 210, which is based on the vehicle position data, urban traffic flow data, and charging station data corresponding to the vehicle to be charged to determine the corresponding passing route data, and sends the passing route data to the user of the vehicle to be charged;

[0087] A charging control module 220, after the vehicle to be charged reaches the designated charging area of the charging station, based on the vehicle charging data received from the user, wirelessly charges the vehicle to be charged based on the vehicle charging data.

[0088] The device further includes but is not limited to:

[0089] A historical charging data acquisition module, which is used to acquire the historical charging data of the charging stations in the city;

[0090] A time period charging demand data determination module, which matches based on the historical charging data and the pre-divided time periods to determine the corresponding time period charging demand data for each time period;

[0091] A charging station adjustment module, which adjusts the opening and closing dynamics of the charging stations in the city based on the time period charging demand data.

[0092] The device further includes but is not limited to:

[0093] A charging prediction model retrieval module, which is used to retrieve a pre-trained charging prediction model;

[0094] A vehicle charging peak time period determination module, which inputs historical charging data and vehicle battery level data into the charging prediction model to determine the vehicle charging peak time period of the current day;

[0095] A charging station control module, which is used to control the charging stations in the city to be in an on state based on the vehicle charging peak time period.

[0096] The device further includes but is not limited to:

[0097] A data determination module, when a vehicle to be charged approaches a charging station, based on reading the vehicle ID to determine the frequency range and power limit corresponding to the vehicle to be charged;

[0098] A charging data determination module, which is used to determine the charging data of the charging station based on the frequency range and power limit, wherein the charging data includes the frequency and power output corresponding to the charging;

[0099] A power limit data adjustment module, during the charging process, obtains the battery temperature data of the vehicle to be charged, determines the battery temperature change range of the vehicle to be charged, and adjusts the charging data of the charging station based on the battery temperature change range.

[0100] The device further includes but is not limited to:

[0101] A charging quantity threshold retrieval module, which is used to retrieve the preset charging quantity threshold of the target charging area, wherein the city is divided into multiple charging areas, and the target charging area is the current charging area;

[0102] A threshold judgment module, which is used to judge whether the number of vehicles to be charged in the target charging area is greater than the charging quantity threshold;

[0103] A charging priority determination module, if so, performs a priority ranking on all vehicles to be charged and is used to determine the charging priority corresponding to each vehicle to be charged;

[0104] A charging control module, which is used to control the vehicles to be charged to charge at the charging station based on the charging priority.

[0105] The device further includes but is not limited to:

[0106] A vehicle charging port image acquisition module, which is used to acquire the vehicle charging port image corresponding to the charging vehicle based on the camera on the charging port;

[0107] A position deviation determination module, which performs image recognition on the vehicle charging port image to determine the position deviation of the vehicle charging port relative to the charging port;

[0108] The three-axis robotic arm adjustment module is used to control the three-axis robotic arm for adjustment based on the position deviation.

[0109] The device also includes but is not limited to:

[0110] The real-time data acquisition module is used to acquire the real-time data of the charging station. Among them, the real-time data includes the charging status, battery temperature, and charging power.

[0111] The abnormal state judgment module is used to judge whether the charging station is in an abnormal state based on the real-time data. If so, it triggers an alarm and notifies the maintenance personnel.

[0112] The embodiment of the present application also discloses a wireless charging control method based on the municipal system, including a processor, and a program of the wireless charging control method based on the municipal system as described in any one of the above is running in the processor.

[0113] The embodiment of the present application also discloses a storage medium storing a program of the wireless charging control method based on the municipal system as described in any one of the above.

[0114] In summary, by real-time monitoring of the vehicle's power and position information, vehicles that need to be charged can be identified in a timely manner. Then, by using the real-time urban traffic flow data and charging station data, the most efficient route can be planned for the vehicles that need to be charged, avoiding congested sections, thereby reducing the waiting time to reach the charging station. In addition, the working status and charging demand of the charging station can be monitored in real time, and the working status of the charging station can be dynamically adjusted to avoid overcrowding of the charging station and improve resource utilization rate, so as to achieve the purpose of efficiently scheduling charging resources.

[0115] By predicting the charging demand and dynamically adjusting the working status of the charging station according to the predicted charging demand, the charging resources can be more reasonably allocated to avoid waste of resources.

[0116] By providing the most suitable charging frequency and power for each vehicle, the charging process can be completed faster; at the same time, by monitoring the battery temperature and adjusting the charging parameters when necessary, the battery overheating can be effectively prevented to ensure the safety of the charging process.

[0117] Arrange the vehicles that need to be charged to go to the charging station for charging according to the charging priority to ensure that the vehicles with higher priority can obtain charging services first. By dynamically adjusting the allocation of charging resources, the efficient utilization of the charging station is ensured.

[0118] Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and should not be construed as limiting the present application. Those of ordinary skill in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present application.

Claims

1. A wireless charging control method based on a municipal system, characterized in that, Including: Obtain the vehicle power data and vehicle location data in the city, determine the corresponding vehicles in need of charging, and retrieve the real-time urban traffic flow data and charging station data. Among them, the urban traffic flow data includes congestion data and traffic restriction data of each road in the city, and the charging station data includes the location of the charging station and the working conditions of the charging station; Based on the vehicle location data corresponding to the vehicle in need of charging, the urban traffic flow data, and the charging station data, determine the corresponding route data, and send the route data to the user of the vehicle in need of charging; After the vehicle in need of charging reaches the designated charging area of the charging station, based on receiving the vehicle charging data sent by the user, wirelessly charge the vehicle in need of charging based on the vehicle charging data; Among them, the method further includes: obtaining the historical charging data of the charging stations in the city; based on the historical charging data and the pre-divided time periods for matching, determining the corresponding time period charging demand data for each time period; based on the time period charging demand data, adjusting the opening and closing dynamics of the charging stations in the city; among them, after determining to obtain the historical charging data of the charging stations in the city, the method further includes: retrieving the pre-trained charging prediction model; inputting the historical charging data and the vehicle power data into the charging prediction model to determine the vehicle charging peak time period of the day; based on the vehicle charging peak time period, controlling the charging stations in the city to be in an open state; When the vehicle in need of charging approaches the charging station, determine the corresponding frequency range and power limit of the vehicle in need of charging based on reading the vehicle ID; based on the frequency range and power limit, determine the charging data of the charging station, where the charging data includes the corresponding frequency and power output for charging; during the charging process, obtain the battery temperature data of the vehicle in need of charging, determine the battery temperature change range of the vehicle in need of charging, and adjust the charging data of the charging station based on the battery temperature change range.

2. The wireless charging control method based on the municipal system according to claim 1, wherein After determining the vehicle in need of charging, the method further includes: Retrieve the preset charging quantity threshold of the target charging area, where the city is divided into multiple charging areas, and the target charging area is the current charging area; Judge whether the number of vehicles in need of charging in the target charging area is greater than the charging quantity threshold; If so, sort all the vehicles in need of charging by priority and determine the corresponding charging priority for each vehicle in need of charging; Based on the charging priority, control the vehicles in need of charging to go to the charging station for charging.

3. The wireless charging control method based on the municipal system according to claim 1, wherein During the process of wirelessly charging the vehicle in need of charging based on the vehicle charging data, the method further includes: Obtain the vehicle charging port image corresponding to the charging vehicle based on the camera on the charging port; Perform image recognition on the vehicle charging port image to determine the position deviation of the vehicle charging port relative to the charging port; Charge the vehicle in need of charging based on the position deviation.

4. The wireless charging control method based on a municipal system according to claim 1, wherein The method further includes: Obtain the real-time data of the charging station, where the real-time data includes the charging status, battery temperature, and charging power; Based on the real-time data, judge whether the charging station is in an abnormal state; If so, trigger an alarm and notify the maintenance personnel.

5. A wireless charging control device based on a municipal system, which is used to execute the wireless charging control method based on the municipal system according to any one of claims 1 to 4, characterized in that, Including: A vehicle to be charged determination module obtains vehicle power data and vehicle location data in a city to determine corresponding vehicles to be charged, and retrieves real-time urban traffic flow data and charging station data. The urban traffic flow data includes congestion data and restricted driving data of each road in the city, and the charging station data includes charging station locations and charging station working conditions. A travel route data determination module determines corresponding travel route data based on the vehicle location data corresponding to the vehicle to be charged, the urban traffic flow data, and the charging station data, and sends the travel route data to the user of the vehicle to be charged. A charging control module, after the vehicle to be charged reaches a designated charging area of the charging station, wirelessly charges the vehicle to be charged based on the received vehicle charging data from the user and based on the vehicle charging data.

6. A wireless charging control method based on a municipal system, characterized in that, It includes a processor, and a program of the wireless charging control method based on the municipal system as described in any one of claims 1-4 runs in the processor.

7. A storage medium, characterized in that, Stores a program of the wireless charging control method based on the municipal system as described in any one of claims 1-4.

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