Wireless charging control method and device based on municipal system

Abstract

The invention relates to the technical field of automobile charging, in particular to a wireless charging control method based on a municipal system, and the method comprises the steps: obtaining vehicle electric quantity data and vehicle position data in a city, determining a corresponding to-be-charged vehicle, and calling real-time urban traffic flow data and charging station data; determining corresponding passing route data based on the vehicle position data corresponding to the vehicle needing to be charged, urban traffic flow data and the charging station data, and sending the passing route data to a user of the vehicle needing to be charged; and after the to-be-charged vehicle arrives at the designated charging area of the charging station, charging the to-be-charged vehicle based on the vehicle charging data port on the basis of receiving vehicle charging data sent by a user. The charging resource scheduling method and device solve the problem that the charging resource scheduling efficiency is not high in the prior art.

Description

Technical Field

[0001] The present application relates to the technical field of automobile charging, and in particular 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 has become increasingly important. Although the traditional wired charging method is reliable, it does have some inconveniences in practical applications.

[0003] The problems with traditional wired charging methods are: first, they take up space: fixed charging piles usually require a certain amount of space to install, especially in parking lots or on the roadside, which may take up valuable parking space; second, they lack flexibility: since the charging piles are fixed, it means that once installed, they are difficult to move and cannot be flexibly adjusted according to changes in charging demand; the above problems will cause problems in urban space utilization efficiency and charging resource scheduling.

[0004] As mentioned above, there is still a problem of low efficiency in scheduling charging resources that needs to be solved. Summary of the invention

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

[0006] In a first aspect, the present application provides a wireless charging control method based on a municipal system, which adopts the following technical solution:

[0007] A wireless charging control method based on a municipal system comprises: obtaining vehicle power data and vehicle position data in a city, determining corresponding vehicles to be charged, retrieving real-time urban traffic flow data and charging station data, wherein the urban traffic flow data includes congestion data and traffic restriction data of various roads in the city, and the charging station data includes the location of the charging station and the working status of the charging station; determining corresponding route data based on the vehicle position data corresponding to the vehicle to be charged, the urban traffic flow data and the charging station data, and sending the route data to the user of the vehicle to be charged; after the vehicle to be charged arrives at a designated charging area of ​​the charging station, based on receiving the vehicle charging data sent by the user, wirelessly charging the vehicle to be charged based on the vehicle charging data.

[0008] By adopting the above technical solution, through real-time monitoring of vehicle power and location information, vehicles that need to be charged can be identified in time, and then by using real-time urban traffic flow data and charging station data, the most efficient route can be planned for vehicles that need to be charged to avoid 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 excessive congestion of the charging station and improve resource utilization, thereby achieving the purpose of efficiently dispatching charging resources.

[0009] Optionally, the method also includes: acquiring historical charging data of charging stations in the city; determining the time period charging demand data corresponding to each time period based on matching the historical charging data with the time periods divided in advance; and adjusting the opening and closing dynamics of charging stations in the city based on the time period charging demand data.

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

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

[0012] By adopting the above technical solution, by accurately predicting the peak charging periods, more available charging resources can be provided during these periods, ensuring that there are sufficient charging resources available during peak demand periods, while resources can be appropriately reduced during non-peak periods to avoid unnecessary waste of energy and costs, and charging station resources can be effectively managed and scheduled to ensure the quality and efficiency of charging services.

[0013] Optionally, the method also 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, wherein the charging data includes the corresponding frequency and power output of 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, the charging process can be completed faster by providing the most suitable charging frequency and power for each vehicle; at the same time, by monitoring the battery temperature and adjusting the charging parameters when necessary, the battery can be effectively prevented from overheating, ensuring the safety of the charging process, and helping to reduce battery stress and loss, thereby extending the battery life.

[0015] Optionally, after determining the vehicles that need to be charged, the method also includes: retrieving a 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; determining whether the number of vehicles that need to be charged in the target charging area is greater than the charging quantity threshold; if so, prioritizing all vehicles that need to be charged and determining the charging priority corresponding to each vehicle that needs to be charged; and controlling the vehicles that need to be charged to charge at the charging station based on the charging priority.

[0016] By adopting the above technical solution, when charging resources are limited, vehicles that need to be charged are arranged to go to charging stations for charging according to charging priorities, ensuring that vehicles with high priorities can get charging services first, and by dynamically adjusting the allocation of charging resources, the efficient use of charging stations is ensured; by reasonably allocating charging resources, the user's waiting time is reduced and the overall charging experience is improved.

[0017] Optionally, in the process of wirelessly charging the vehicle to be charged based on the vehicle charging data, the method also includes: acquiring a vehicle charging port image corresponding to the charging vehicle based on a camera on the charging port; performing image recognition on the vehicle charging port image to determine a position deviation of the vehicle charging port relative to the charging port; and charging the vehicle to be charged based on the position deviation.

[0018] By adopting the above technical solution, the automatic alignment system ensures the precise alignment of the charging port with the vehicle charging port, reduces the time of manual adjustment, and improves the efficiency of the charging process; through precise position deviation adjustment, the safety hazards caused by inaccurate alignment are avoided, ensuring the safety of the charging process.

[0019] Optionally, the method further includes: acquiring real-time data of the charging station, wherein 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 maintenance personnel.

[0020] By adopting the above technical solution and monitoring the status of the charging station in real time, potential safety hazards can be discovered and dealt with in a timely manner to ensure the safety of the charging process; by promptly handling abnormal situations, interruptions in the charging process can be avoided to ensure 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, which adopts the following technical solution:

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

[0023] The module for determining vehicles that need to be charged obtains the vehicle power data and vehicle location data in the city to determine the corresponding vehicles that need to be charged, and retrieves real-time urban traffic flow data and charging station data. The urban traffic flow data includes congestion data and traffic restriction data of various roads in the city, and the charging station data includes the location of the charging station and the working status of the charging station;

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

[0025] The charging control module receives vehicle charging data sent by a user after the vehicle to be charged reaches a designated charging area of ​​the charging station, and 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, which adopts the following technical solution:

[0027] A municipal system-based wireless charging control method comprises a processor, wherein the processor runs a program of any one of the municipal system-based wireless charging control methods described above.

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

[0029] A storage medium stores a program of any one of the above-mentioned wireless charging control methods based on a municipal system.

[0030] To summarize, the present application includes at least one of the following beneficial technical effects: by real-time monitoring of vehicle power and location information, vehicles that need charging can be identified in a timely manner, and then by using real-time urban traffic flow data and charging station data, the most efficient route can be planned for vehicles that need charging, avoiding congested sections, thereby reducing the waiting time to reach the charging station. In addition, the working status and charging needs of the charging station can be monitored in real time, and the working status of the charging station can be dynamically adjusted to avoid excessive congestion at the charging station and improve resource utilization, thereby achieving the purpose of efficiently scheduling charging resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1is a flow chart of a wireless charging control method based on a municipal system 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 according to an exemplary embodiment. DETAILED DESCRIPTION

[0033] Embodiments of the present application are described in detail below, examples of which are shown in the accompanying drawings.

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

[0035] The present application embodiment discloses a wireless charging control method based on a municipal system, referring to Figure 1 ,include:

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

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

[0038] It should be pointed out here that the corresponding vehicle power data can be obtained through the battery power sensor, and the vehicle power data can be used to determine whether the vehicle is charging. Here, the vehicle power data can be compared with the preset power threshold. When the vehicle power data is less than the power threshold, the corresponding vehicle needs to be determined as a vehicle that needs to be charged; and the vehicle location data corresponding to the vehicle can be obtained through the GPS positioning sensor. Through the above process, for vehicles in the city, the number of vehicles in the city and the corresponding location can be understood at the first time.

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

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

[0041] Among them, after the location of the charging station, the location of the vehicle to be charged, and the congestion of the road are determined, a path planning algorithm (such as the Dijkstra algorithm) can be used in combination with real-time traffic conditions to plan the optimal driving route for the vehicle to be charged, thereby planning the most efficient route for the vehicle to be charged, avoiding congested sections, and reducing the waiting time to reach the charging station.

[0042] S120, 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 charging the vehicle to be charged based on the vehicle charging data.

[0043] Among them, after the vehicle to be charged arrives at the charging position of the corresponding charging station according to the planned route data, the user can upload the charging data of the vehicle to be charged to the system according to the current charging position of the vehicle, such as whether the vehicle chooses fast charging or slow charging, or starts charging immediately or charges at a predetermined time; in addition, for the user to upload the vehicle charging data to the system, it can also be uploaded in advance, such as when the vehicle is on the way to the charging station; after the vehicle to be charged arrives at 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 the charging port with the vehicle to be charged; at this time, the wireless charging and three-axis robotic arm in the charging station can automatically charge the vehicle, realize the automation of the charging process, reduce user operations, and improve the convenience of the charging process.

[0044] In addition, in the process of charging the battery, the charging port on the three-axis robot arm is used to realize automatic charging. The specific process includes:

[0045] S1201, acquiring a vehicle charging port image corresponding to the charging vehicle based on a camera on the charging port.

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

[0047] S1202, 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.

[0048] Image processing algorithms (such as edge detection and template matching) are used to identify the outline and position of the vehicle charging port, which can handle different lighting conditions, occlusions and vehicle color differences to ensure accurate identification in various environments.

[0049] S1203, controlling the three-axis robotic arm to make adjustments based on the position deviation.

[0050] Among them, millimeter-level adjustment accuracy is achieved through precise servo motors and feedback systems to ensure that the robotic arm maintains an appropriate safety distance from the vehicle during movement. Through the position deviation information obtained through image processing, the system can automatically adjust the position of the three-axis robotic arm to ensure that the charging port is accurately aligned with the vehicle's 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 user's waiting time and improves the charging experience.

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

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

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

[0055] S122, matching the historical charging data with the time periods divided in advance, and determining 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 peak hours, off-peak hours, etc.), and the number of charging times and charging amounts in each time period are counted, so that the charging demand data corresponding to different time periods can be determined.

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

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

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

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

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

[0062] Among them, the training process of the charging prediction model includes: first, collecting a large amount of historical charging data, including charging time, charging amount, charging frequency and other information, as well as real-time vehicle power data, cleaning and sorting the collected historical charging data, removing outliers and missing values, ensuring data quality, extracting useful features from the original historical charging data, such as charging time, power status, weather conditions, etc. These features will be used to train the model, selecting appropriate machine learning algorithms (such as regression analysis, neural networks, etc.), using training data sets to train the model, adjusting model parameters to improve prediction accuracy, using independent test data sets to evaluate the performance of the model, optimizing the model through cross-validation and other methods to ensure that the model has good generalization ability, and finally deploying the trained model to practical applications to predict future charging needs.

[0063] S1212, inputting historical charging data and vehicle power data into a charging prediction model to determine the peak vehicle charging time period of the day.

[0064] Combining historical charging data and current vehicle power data as input 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, controlling charging stations in the city to be in an open state based on the peak period of vehicle charging.

[0066] By opening the corresponding charging stations in advance or increasing their service capacity before the predicted charging peak period, possible surges in charging demand can be coped with.

[0067] By comprehensively using historical data and real-time data, combined with the prediction results of the charging prediction model, it is possible to effectively manage and schedule charging station resources to ensure the quality and efficiency of charging services.

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

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

[0070] 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 be charged 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 a charging number threshold.

[0072] S106: If yes, prioritize all vehicles that need to be charged and determine the charging priority corresponding to each vehicle that needs to be charged.

[0073] This means that the number of charging stations available for charging in the target area is not enough to match the number of vehicles that need to be charged. During the priority sorting process, the vehicles that need to be charged are sorted based on factors such as the importance of the vehicle (such as public service vehicles are given priority), the degree of urgency (such as extremely low battery power), and the reservation status.

[0074] S107, controlling the vehicles that need to be charged to go to the charging station for charging based on the charging priority.

[0075] When charging resources are limited, priority sorting is used to ensure that all vehicles that need charging have the opportunity to obtain charging services. Real-time monitoring and dynamic adjustment of the allocation of charging resources can 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 when it is charging, the following steps are also performed:

[0077] S111, when a vehicle to be charged approaches a charging station, a frequency range and a power limit corresponding to the vehicle to be charged are determined based on the vehicle ID read.

[0078] When a vehicle to be charged approaches a charging station, the vehicle ID is read through wireless communication technology (such as RFID, NFC or Bluetooth), and the frequency range and power limit data of the 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 charging efficiency.

[0079] S112, determining charging data of the charging station based on the frequency range and the power limit, wherein the charging data includes a frequency and a power output corresponding to 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 adapt to the needs of the vehicle to be charged.

[0081] S113, during the charging process, obtaining battery temperature data of the vehicle to be charged, determining a battery temperature variation range of the vehicle to be charged, and adjusting charging data of the charging station based on the battery temperature variation range.

[0082] Among them, the battery temperature data is obtained through the vehicle's battery management system (BMS) or the charging station's own temperature sensor, and the battery temperature variation range is determined based on these 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 reduce the battery temperature.

[0083] In addition, when the vehicle is charging, the system obtains real-time data of the charging station, including charging status, battery temperature, and charging power. At the same time, it can also determine 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 is immediately triggered and maintenance personnel are notified to intervene in time. Through real-time monitoring and abnormality detection, the normal operation of the charging station is ensured, thereby improving the overall quality and efficiency of the charging service.

[0084] The present application embodiment discloses a wireless charging control device based on a municipal system, referring to Figure 2 ,include:

[0085] The charging-required vehicle determination module 200 obtains vehicle power data and vehicle location data in the city to determine the corresponding vehicle that needs to be charged, and retrieves real-time urban traffic flow data and charging station data, wherein the urban traffic flow data includes congestion data and traffic restriction data of various roads in the city, and the charging station data includes the location of the charging station and the working status of the charging station;

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

[0087] The charging control module 220 receives the vehicle charging data sent by the user after the vehicle to be charged reaches the designated charging area of ​​the charging station, and wirelessly charges the vehicle to be charged based on the vehicle charging data.

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

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

[0090] A time period charging demand data determination module is used to determine the time period charging demand data corresponding to each time period based on matching of historical charging data and the time periods divided in advance;

[0091] The charging station adjustment module is used to adjust the opening and closing dynamics of charging stations in the city based on the time period charging demand data.

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

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

[0094] The vehicle charging peak time period determination module inputs historical charging data and vehicle power data into the charging prediction model to determine the vehicle charging peak time period of the day;

[0095] The charging station control module is used to control the charging stations in the city to be turned on based on the peak vehicle charging time period.

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

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

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

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

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

[0101] A charging quantity threshold retrieving module is used to retrieve a preset charging quantity threshold of a 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 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] The charging priority determination module, if yes, prioritizes all vehicles that need to be charged and determines the charging priority corresponding to each vehicle that needs to be charged;

[0104] The charging control module is used to control the vehicles that need to be charged to the charging station for charging based on the charging priority.

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

[0106] A vehicle charging port image acquisition module, which is used to acquire a vehicle charging port image corresponding to the charging vehicle based on a 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 robot arm adjustment module is used to control the three-axis robot arm for adjustment based on position deviation.

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

[0110] A real-time data acquisition module is used to acquire real-time data of the charging station, wherein the real-time data includes charging status, battery temperature, and charging power;

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

[0112] An embodiment of the present application also discloses a municipal system-based wireless charging control method, including a processor, in which a program of any one of the above-mentioned municipal system-based wireless charging control methods is running.

[0113] The embodiment of the present application also discloses a storage medium storing a program of any one of the above-mentioned wireless charging control methods based on the municipal system.

[0114] To sum up, by real-time monitoring of vehicle power and location information, vehicles that need charging can be identified in a timely manner. Then, by using real-time urban traffic flow data and charging station data, the most efficient route can be planned for vehicles that need charging, 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 excessive congestion at the charging station and improve resource utilization, thereby achieving the purpose of efficiently dispatching charging resources.

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

[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 can be effectively prevented from overheating and the safety of the charging process can be ensured.

[0117] Vehicles that need to be charged are arranged to go to charging stations for charging according to charging priority, ensuring that vehicles with high priority can get charging services first. By dynamically adjusting the allocation of charging resources, the efficient use of charging stations 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 cannot be understood as limitations on the present application. Ordinary technicians in this field can change, modify, replace and modify 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: include: Obtain vehicle power data and vehicle location data in the city, determine the corresponding vehicles that need to be charged, and retrieve real-time urban traffic flow data and charging station data. The urban traffic flow data includes congestion data and traffic restriction data of various roads in the city, and the charging station data includes the location of the charging station and the working status of the charging station; Determine corresponding 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 send the route data to the user of the vehicle to be charged; 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, the vehicle to be charged is wirelessly charged based on the vehicle charging data.

2. The wireless charging control method based on the municipal system according to claim 1 is characterized in that: The method further comprises: Get historical charging data of charging stations in the city; Based on the historical charging data and the pre-divided time periods, the charging demand data corresponding to each time period is determined; The opening and closing dynamics of charging stations in the city are adjusted based on the charging demand data during the time period.

3. The wireless charging control method based on the municipal system according to claim 2 is characterized in that: After determining to obtain historical charging data of charging stations in the city, the method further includes: Retrieve the pre-trained charging prediction model; Inputting the historical charging data and the vehicle power data into the charging prediction model to determine the peak charging time period of the vehicle on that day; Based on the peak period of vehicle charging, charging stations in the city are controlled to be in an open state.

4. The wireless charging control method based on the municipal system according to claim 1, characterized in that: The method further comprises: When a vehicle to be charged approaches a charging station, the frequency range and power limit corresponding to the vehicle to be charged are determined based on the vehicle ID read; Determining charging data of the charging station based on the frequency range and the power limit, wherein the charging data includes a frequency and a power output corresponding to charging; During the charging process, the battery temperature data of the vehicle to be charged is obtained, the battery temperature variation range of the vehicle to be charged is determined, and the charging data of the charging station is adjusted based on the battery temperature variation range.

5. The wireless charging control method based on the municipal system according to claim 4 is characterized in that: After determining that a vehicle needs to be charged, the method further includes: Retrieving a preset charging quantity threshold of a target charging area, wherein 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 number threshold; If yes, prioritize all vehicles that need to be charged and determine the charging priority corresponding to each vehicle that needs to be charged; Based on the charging priority, the vehicle that needs to be charged is controlled to go to the charging station for charging.

6. The wireless charging control method based on the municipal system according to claim 1, characterized in that: In the process of wirelessly charging the vehicle to be charged based on the vehicle charging data, the method further includes: Acquire a vehicle charging port image corresponding to the charging vehicle based on a camera on the charging port; Performing image recognition on the image of the vehicle charging port to determine a position deviation of the vehicle charging port relative to the charging port; The vehicle that needs to be charged is charged based on the position deviation.

7. The wireless charging control method based on the municipal system according to claim 1, characterized in that: The method further comprises: Acquire real-time data of the charging station, wherein 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, an alarm is triggered and maintenance personnel are notified.

8. A wireless charging control device based on a municipal system, characterized in that: include: The module for determining vehicles that need to be charged obtains the vehicle power data and vehicle location data in the city to determine the corresponding vehicles that need to be charged, and retrieves real-time urban traffic flow data and charging station data. The urban traffic flow data includes congestion data and traffic restriction data of various roads in the city, and the charging station data includes the location of the charging station and the working status of the charging station; The route data determination module determines corresponding route data based on the vehicle position data corresponding to the vehicle to be charged, the urban traffic flow data, and the charging station data, and sends the route data to the user of the vehicle to be charged; The charging control module receives vehicle charging data sent by a user after the vehicle to be charged reaches a designated charging area of ​​the charging station, and wirelessly charges the vehicle to be charged based on the vehicle charging data.

9. A wireless charging control method based on a municipal system, characterized in that: It comprises a processor, in which runs a program of a wireless charging control method based on a municipal system as described in any one of claims 1 to 7.

10. A storage medium, characterized in that: A program storing the wireless charging control method based on the municipal system as described in any one of claims 1 to 7 is stored.

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