Intelligent wireless charging power distribution method and system

Abstract

The invention discloses an intelligent wireless charging power distribution method and system, and aims to improve the efficiency and safety of simultaneous charging of multiple devices, and the system design comprises a plurality of key modules: a device detection and recognition module automatically recognizes the charging devices and collects the power demands of the charging devices; the power demand analysis module calculates the power demand of each device according to the device electric quantity and the charging mode, and the power distribution control module dynamically adjusts the power output according to the priority, the distance and other factors; the real-time monitoring and feedback module ensures the stability and safety of the charging process, and the data recording and learning optimization module optimizes the charging strategy by analyzing historical data. Through cooperative work of the modules, the system can adjust the charging power in real time, optimize the charging efficiency, improve the user experience, and ensure the safety of the charging process. The system shows good adaptability in a multi-device environment, and important reference and application prospects are provided for development of a wireless charging technology.

Description

Technical Field

[0001] The present invention relates to the field of wireless charging, and in particular to an intelligent wireless charging power distribution method and system. Background Art

[0002] Problems such as uneven power distribution, low charging efficiency and insufficient safety exist in the wireless charging of multiple devices at the same time. With the widespread application of wireless charging technology, users often need to charge multiple devices (such as mobile phones, smart watches, tablets, etc.) at the same time. However, traditional wireless charging systems usually only provide fixed power and cannot be flexibly adjusted according to the needs of different devices, resulting in slow charging speed or power waste of some devices. In addition, the devices will face safety hazards such as overheating, unreasonable power distribution and signal interference during the charging process. In order to solve these problems, an intelligent wireless charging power distribution system is designed to ensure efficient and safe wireless charging of multiple devices at the same time through real-time monitoring, power regulation and priority adjustment. The system can dynamically adjust the power output according to the charging status, distance, priority and environmental changes of the device, which not only improves the charging efficiency, but also optimizes the user experience. It has important application value in multi-device charging scenarios such as home and office. Summary of the invention

[0003] An intelligent wireless charging power distribution method comprises the following steps: S1. System initialization: The wireless charging transmitter (Tx) starts and enters the standby state, ready to detect the connected receiving device (Rx), establish the connection between the transmitter and the control module, and ensure that the system can monitor and adjust the power output in real time; S2. Device detection and identification: When a new device is connected to the charging area, the system uses short-range communication protocols (such as Bluetooth, NFC, and Wi-Fi) to detect and identify the device. The receiving device reports its device ID, power requirements, current battery level, and other information that may affect power allocation (such as device priority) to the transmitter. The system records the status of all connected devices and generates a device list. S3. Data collection and analysis: The control module collects information about all identified devices, including: the current battery percentage of each device, the charging power requirements of the device (such as standard charging and fast charging modes), the distance between the device and the transmitter (which can be estimated by signal strength), and the priority of the device (such as emergency devices, charging history, user-set preferences). Based on this data, the system analyzes and determines the initial power requirements of each device and their priority ranking in the system; S4. Power allocation algorithm execution: The control module runs an adaptive power allocation algorithm. The allocation methods include: balanced allocation: if all devices have similar power requirements, the system allocates power equally; priority allocation: for certain devices with lower power or higher priority, the system allocates more power; distance compensation allocation: for devices that are farther away from the transmitter, the system increases power output to compensate for transmission loss. Based on the analysis results, the system calculates the specific power value that should be allocated to each device and adjusts the power output of the transmitter to match the device list; S5. Power transmission and real-time monitoring: The transmitter starts to transmit power to each device according to the calculated power allocation value. The control module continuously monitors the status of each device (such as received power, charging speed, and power change). The system establishes a feedback loop, and the device can report its charging progress and power change in real time. S6. Real-time power regulation: Based on real-time monitoring data, the system dynamically adjusts power allocation: When a device reaches a preset power threshold or is fully charged, the system reduces or stops transmitting power to the device and allocates the released power to other devices. When a new device joins or an existing device leaves, the system re-executes the power allocation algorithm and adjusts the transmitter output. If a device's power demand changes (for example, the user switches to fast charging mode), the system will adjust its allocated power immediately. The system adjusts the priority of each device based on its needs and changes during the charging process to further optimize power allocation; S7. Charging completion and system reset: When all devices reach the charging completion state or no longer need power, the transmitter stops the corresponding power output and restores the system to standby state. The system clears the information of devices that are fully charged or leave the charging area and prepares for the next charging cycle.

[0004] Furthermore, an intelligent wireless charging power distribution method is provided. In step S4, based on the analysis results, the system calculates the specific power value that should be allocated to each device and adjusts the power output of the transmitter to match the device list. The specific steps are as follows: S41. Power requirement calculation: After device identification, the system calculates the power requirement of each device based on its status. The system determines the required charging power based on the current battery percentage reported by the device. Devices with lower battery levels usually require more power, while devices with higher battery levels may require less power. The distance between the device and the transmitter affects the transmission efficiency. The system estimates the power loss in signal transmission by measuring the device signal strength. Devices that are farther away require higher power output to compensate for energy loss. S42. Priority determination: After calculating the power demand, the system needs to sort the devices according to their priority. The basis for determining the priority includes: judging by power level: devices with low power usually have higher priority, especially when the power is below a certain threshold (such as 20%), the system will give priority to allocating more power to them; judging by user preference: users can set the priority of specific devices through APP or other control interfaces, such as specifying that smartphones should be charged before other devices; judging by charging speed requirements: if some devices select the fast charging mode, the priority of these devices will be increased so that more power can be allocated; S43. Power allocation strategy: Based on power demand and priority, the system will implement a specific power allocation strategy. Common allocation strategies include the following: Balanced allocation strategy: When the power demand of all devices is relatively balanced, the system will evenly distribute the available power of the transmitter to each device. This strategy is suitable for scenarios where the power levels of all devices are relatively close and there is no urgent need for charging. Formula: Assume that the maximum output power of the system is P max, the number of devices is n , then the power obtained by each device ,On-demand allocation strategy: For devices with low power or high power requirements, the system will give priority to meeting the needs of these devices. For example, devices with less than 20% power may be allocated additional power. The formula is: i Distributed power Pi = f ( Di , Ni , Ci ),in Di is the distance factor of the device, Ni is the power level, Ci For charging mode (such as fast charging or slow charging), distance-aware allocation strategy: Since the power decreases with the increase of distance during wireless charging, the system will compensate the power according to the distance between the device and the transmitter. Devices with longer distances will be allocated more power to offset the loss in signal transmission. Formula: Assume that the device i The distance from the transmitter is d , then its power demand , the system adjusts the power output according to the distance; S44. Multi-objective optimization: Multiple devices may have different priorities, power requirements, distances, and charging modes at the same time. The system can use the particle swarm optimization multi-objective optimization algorithm to comprehensively consider these factors and generate the optimal power allocation solution; S45. Power output adjustment: Based on the power allocation results, the control module will adjust the output power of the transmitter in real time to match it with the calculated allocation plan. The transmitter will also adjust the power output of different frequency bands or areas to ensure that each device is charged according to its allocated power.

[0005] Furthermore, an intelligent wireless charging power distribution method is provided. In step S6, based on the real-time monitoring data, the system dynamically adjusts the power allocation, and the specific steps are as follows; S61. Real-time monitoring: The system continuously monitors the charging status of each device by receiving real-time data fed back by the device. The main monitoring contents include: Charging progress: The system periodically receives the power information fed back by each device, Charging power receiving status: Whether the power actually received by the device is consistent with the allocated power, whether there is unstable power transmission, Device connection status: Whether the device is still in the wireless charging area, whether it still needs to be charged, In addition to the status of the device, the system also needs to consider environmental changes: temperature monitoring, signal interference detection; S62. Power regulation mechanism: Based on the real-time monitoring data, the system will trigger the following regulation mechanisms: Dynamic power regulation: If the power demand of a device changes, the system will readjust the power allocation according to the new demand. When the device reaches full power, the system immediately stops allocating power to it and allocates the excess power to other devices. This can reduce energy waste and speed up the charging progress of other devices. When the device switches modes, the system detects new power demand, allocates more power to the device first, and reallocates the remaining power to other devices. When the device joins or leaves, the system recalculates and allocates it to other devices; S63. Abnormal detection and processing: The system detects and handles various abnormal situations during real-time adjustment: Overheat protection: When the system detects that the temperature of a device or charging area is too high, the system will trigger the overheat protection mechanism. Temporarily reduce or stop the charging power of the device until the temperature returns to normal, and adjust the power allocation of other devices to avoid excessive power concentrated in one area causing overheating. Signal interference: When severe signal interference is detected, the system adjusts the charging frequency and transmission power to avoid the impact of interference on charging efficiency. If necessary, the system temporarily reduces power output to ensure the overall transmission quality. Charging failure: When the system detects abnormal power reception of the device, the system will stop allocating power to the device and notify the user of the device failure through the feedback mechanism to avoid further waste of power. S64. Optimize power distribution: Load balancing in real-time adjustment ensures that the output power of the transmitter is reasonably distributed among various devices to avoid overloading some devices while other devices fail to obtain sufficient power. When it is detected that some devices are fully charged or the power demand decreases, the system will automatically reallocate the available power to achieve dynamic load balancing and smooth transition of multiple devices: When multiple devices are close to full power, the system will prioritize reducing the power input of these devices and gradually transfer power to other devices; S65. Data recording and optimization learning: During the charging process, the system records the device charging behavior and power allocation. These data are used for future optimization: by learning the user's charging habits (such as using fast charging in a specific time period, prioritizing specific devices, etc.), the system optimizes the next power allocation strategy to achieve a more intelligent charging experience, and improves the power allocation algorithm by analyzing historical data. Some devices usually require longer charging time than other devices, and the system allocates more power to these devices in advance.

[0006] An intelligent wireless charging power distribution system, the intelligent wireless charging power distribution system is used to implement any one of the intelligent wireless charging power distribution methods; the intelligent wireless charging power distribution system comprises: a device detection and identification module, a power demand analysis module, a power distribution control module, a real-time monitoring and feedback module, and a data recording and learning optimization module; Device detection and identification module: responsible for identifying devices entering the charging area and collecting the power requirements and other relevant information of the devices. Its functions include: device discovery, information collection, and data management; Power demand analysis module: responsible for processing the information provided by the device detection and identification module and analyzing the power demand of each device. Its functions include: power demand calculation and device priority judgment; Power allocation control module: responsible for executing the power allocation algorithm and adjusting the power output of the transmitter according to the needs and priorities of each device. Its functions include: power allocation algorithm, multi-objective optimization, and power output control; Real-time monitoring and feedback module: responsible for real-time monitoring of the charging progress and status changes of each device, and feeding back the monitoring results to the power distribution control module. Its functions include: real-time charging status monitoring, status feedback, and fault detection; Data recording and learning optimization module: used to collect and analyze historical charging data to further optimize system performance. Its functions include: data recording, optimizing power allocation algorithm by analyzing historical data.

[0007] Beneficial effects of the present invention: The system can dynamically allocate power according to the power demand, charging mode and power of each device, avoiding the inefficiency problem caused by fixed power output, ensuring that each device obtains appropriate power, and shortening the overall charging time. By real-time monitoring of the device power, charging status and priority, the system can dynamically adjust the power allocation to ensure that high-priority or low-power devices get more power first and optimize the charging experience. The system integrates temperature monitoring and overheating protection mechanisms to detect temperature changes of the device during charging in real time, prevent overheating or other safety hazards, and ensure the safety of the charging process. When the device is fully charged or leaves the charging area, the system will automatically stop allocating power to it and allocate power to other devices to avoid energy waste. BRIEF DESCRIPTION OF THE DRAWINGS

[0008] Figure 1 A flow chart of an intelligent wireless charging power distribution method; DETAILED DESCRIPTION

[0009] An intelligent wireless charging power distribution method comprises the following steps: S1. System initialization: The wireless charging transmitter (Tx) starts and enters the standby state, ready to detect the connected receiving device (Rx), establish the connection between the transmitter and the control module, and ensure that the system can monitor and adjust the power output in real time; S2. Device detection and identification: When a new device is connected to the charging area, the system uses short-range communication protocols (such as Bluetooth, NFC, and Wi-Fi) to detect and identify the device. The receiving device reports its device ID, power requirements, current battery level, and other information that may affect power allocation (such as device priority) to the transmitter. The system records the status of all connected devices and generates a device list. S3. Data collection and analysis: The control module collects information about all identified devices, including: the current battery percentage of each device, the charging power requirements of the device (such as standard charging and fast charging modes), the distance between the device and the transmitter (which can be estimated by signal strength), and the priority of the device (such as emergency devices, charging history, user-set preferences). Based on this data, the system analyzes and determines the initial power requirements of each device and their priority ranking in the system; S4. Power allocation algorithm execution: The control module runs an adaptive power allocation algorithm. The allocation methods include: balanced allocation: if all devices have similar power requirements, the system allocates power equally; priority allocation: for certain devices with lower power or higher priority, the system allocates more power; distance compensation allocation: for devices that are farther away from the transmitter, the system increases power output to compensate for transmission loss. Based on the analysis results, the system calculates the specific power value that should be allocated to each device and adjusts the power output of the transmitter to match the device list; S5. Power transmission and real-time monitoring: The transmitter starts to transmit power to each device according to the calculated power allocation value. The control module continuously monitors the status of each device (such as received power, charging speed, and power change). The system establishes a feedback loop, and the device can report its charging progress and power change in real time. S6. Real-time power regulation: Based on real-time monitoring data, the system dynamically adjusts power allocation: When a device reaches a preset power threshold or is fully charged, the system reduces or stops transmitting power to the device and allocates the released power to other devices. When a new device joins or an existing device leaves, the system re-executes the power allocation algorithm and adjusts the transmitter output. If a device's power demand changes (for example, the user switches to fast charging mode), the system will adjust its allocated power immediately. The system adjusts the priority of each device based on its needs and changes during the charging process to further optimize power allocation; S7. Charging completion and system reset: When all devices reach the charging completion state or no longer need power, the transmitter stops the corresponding power output and restores the system to standby state. The system clears the information of devices that are fully charged or leave the charging area and prepares for the next charging cycle.

[0010] Furthermore, an intelligent wireless charging power distribution method is provided. In step S4, based on the analysis results, the system calculates the specific power value that should be allocated to each device and adjusts the power output of the transmitter to match the device list. The specific steps are as follows: S41. Power requirement calculation: After device identification, the system calculates the power requirement of each device based on its status. The system determines the required charging power based on the current battery percentage reported by the device. Devices with lower battery levels usually require more power, while devices with higher battery levels may require less power. The distance between the device and the transmitter affects the transmission efficiency. The system estimates the power loss in signal transmission by measuring the device signal strength. Devices that are farther away require higher power output to compensate for energy loss. S42 Priority determination: After calculating the power demand, the system needs to sort the devices according to their priority. The basis for determining the priority includes: Determined by power level: Devices with low power usually have higher priority, especially when the power is below a certain threshold (such as 20%), the system will prioritize them to allocate more power; Determined by user preference: Users can set the priority of specific devices through APP or other control interfaces, such as specifying that smartphones have priority over other devices for charging; Determined by charging speed requirements: If some devices select the fast charging mode, the priority of these devices will be increased so that more power can be allocated; S43 Power allocation strategy: Based on power demand and priority, the system will implement a specific power allocation strategy. Common allocation strategies include the following: Balanced allocation strategy: When the power demand of all devices is relatively balanced, the system will evenly distribute the available power of the transmitter to each device. This strategy is suitable for scenarios where the power levels of all devices are relatively close and there is no urgent need for charging. Formula: Assume that the maximum output power of the system is P max, the number of devices is n , then the power obtained by each device ,On-demand allocation strategy: For devices with low power or high power requirements, the system will give priority to meeting the needs of these devices. For example, devices with less than 20% power may be allocated additional power. The formula is: i Distributed power Pi = f ( Di , Ni , Ci ),in Di is the distance factor of the device, Ni is the power level, Ci For charging mode (such as fast charging or slow charging), distance-aware allocation strategy: Since the power decreases with the increase of distance during wireless charging, the system will compensate the power according to the distance between the device and the transmitter. Devices with longer distances will be allocated more power to offset the loss in signal transmission. Formula: Assume that the device i The distance from the transmitter is d , then its power demand , the system adjusts the power output according to the distance; S44. Multi-objective optimization: Multiple devices may have different priorities, power requirements, distances, and charging modes at the same time. The system can use the particle swarm optimization multi-objective optimization algorithm to comprehensively consider these factors and generate the optimal power allocation solution; S45. Power output adjustment: Based on the power allocation results, the control module will adjust the output power of the transmitter in real time to match it with the calculated allocation plan. The transmitter will also adjust the power output of different frequency bands or areas to ensure that each device is charged according to its allocated power.

[0011] Furthermore, an intelligent wireless charging power distribution method is provided. In step S6, based on the real-time monitoring data, the system dynamically adjusts the power allocation, and the specific steps are as follows; S61. Real-time monitoring: The system continuously monitors the charging status of each device by receiving real-time data fed back by the device. The main monitoring contents include: Charging progress: The system periodically receives the power information fed back by each device, Charging power receiving status: Whether the power actually received by the device is consistent with the allocated power, whether there is unstable power transmission, Device connection status: Whether the device is still in the wireless charging area, whether it still needs to be charged, In addition to the status of the device, the system also needs to consider environmental changes: temperature monitoring, signal interference detection; S62. Power regulation mechanism: Based on the real-time monitoring data, the system will trigger the following regulation mechanisms: Dynamic power regulation: If the power demand of a device changes, the system will readjust the power allocation according to the new demand. When the device reaches full power, the system immediately stops allocating power to it and allocates the excess power to other devices. This can reduce energy waste and speed up the charging progress of other devices. When the device switches modes, the system detects new power demand, allocates more power to the device first, and reallocates the remaining power to other devices. When the device joins or leaves, the system recalculates and allocates it to other devices; S63. Abnormal detection and processing: The system detects and handles various abnormal situations during real-time adjustment: Overheat protection: When the system detects that the temperature of a device or charging area is too high, the system will trigger the overheat protection mechanism. Temporarily reduce or stop the charging power of the device until the temperature returns to normal, and adjust the power allocation of other devices to avoid excessive power concentrated in one area causing overheating. Signal interference: When severe signal interference is detected, the system adjusts the charging frequency and transmission power to avoid the impact of interference on charging efficiency. If necessary, the system temporarily reduces power output to ensure the overall transmission quality. Charging failure: When the system detects abnormal power reception of the device, the system will stop allocating power to the device and notify the user of the device failure through the feedback mechanism to avoid further waste of power. S64. Optimize power distribution: Load balancing in real-time adjustment ensures that the output power of the transmitter is reasonably distributed among various devices to avoid overloading some devices while other devices fail to obtain sufficient power. When it is detected that some devices are fully charged or the power demand decreases, the system will automatically reallocate the available power to achieve dynamic load balancing and smooth transition of multiple devices: When multiple devices are close to full power, the system will prioritize reducing the power input of these devices and gradually transfer power to other devices; S65. Data recording and optimization learning: During the charging process, the system records the device charging behavior and power allocation. These data are used for future optimization: by learning the user's charging habits (such as using fast charging in a specific time period, prioritizing specific devices, etc.), the system optimizes the next power allocation strategy to achieve a more intelligent charging experience, and improves the power allocation algorithm by analyzing historical data. Some devices usually require longer charging time than other devices, and the system allocates more power to these devices in advance.

[0012] An intelligent wireless charging power distribution system, the intelligent wireless charging power distribution system is used to implement any one of the intelligent wireless charging power distribution methods; the intelligent wireless charging power distribution system comprises: a device detection and identification module, a power demand analysis module, a power distribution control module, a real-time monitoring and feedback module, and a data recording and learning optimization module; Device detection and identification module: responsible for identifying devices entering the charging area and collecting the power requirements and other relevant information of the devices. Its functions include: device discovery, information collection, and data management; Power demand analysis module: responsible for processing the information provided by the device detection and identification module and analyzing the power demand of each device. Its functions include: power demand calculation and device priority judgment; Power allocation control module: responsible for executing the power allocation algorithm and adjusting the power output of the transmitter according to the needs and priorities of each device. Its functions include: power allocation algorithm, multi-objective optimization, and power output control; Real-time monitoring and feedback module: responsible for real-time monitoring of the charging progress and status changes of each device, and feeding back the monitoring results to the power distribution control module. Its functions include: real-time charging status monitoring, status feedback, and fault detection; Data recording and learning optimization module: used to collect and analyze historical charging data to further optimize system performance. Its functions include: data recording, optimizing power allocation algorithm by analyzing historical data.

Claims

1. An intelligent wireless charging power distribution method, characterized in that: The following steps are included: S1. System initialization: The wireless charging transmitter starts and enters the standby state, ready to detect the connected receiving device, establish the connection between the transmitter and the control module, and the system monitors and adjusts the power output in real time; S2. Device detection and identification: When a new device is connected to the charging area, the system uses the short-range communication protocol to detect and identify the device. The receiving device reports its device ID, power requirements, current battery level, and other information that affects power allocation to the transmitter. The system records the status of all connected devices and generates a device list. S3. Data collection and analysis: The control module collects information about all identified devices, including: the current power percentage of each device, the charging power requirement of the device, the distance between the device and the transmitter, and the priority of the device. Based on this data, the system analyzes and determines the initial power requirement of each device and their priority ranking in the system; S4. Power allocation algorithm execution: The control module runs an adaptive power allocation algorithm. The allocation methods include: balanced allocation, priority allocation, and distance compensation allocation. Based on the analysis results, the system calculates the specific power value that should be allocated to each device and adjusts the power output of the transmitter to match the device list; S5. Power transmission and real-time monitoring: The transmitter starts to transmit power to each device according to the calculated power allocation value. The control module continuously monitors the status of each device: receiving power, charging speed, and power change. The system establishes a feedback loop, and the device can report its charging progress and power change in real time; S6. Real-time power regulation: Based on real-time monitoring data, the system dynamically adjusts power allocation: When a device reaches the preset power threshold or is fully charged, the system reduces or stops transmitting power to the device and allocates the released power to other devices. When new devices join or existing devices leave, the system re-executes the power allocation algorithm and adjusts the transmitter output. If a device's power demand changes, the system will adjust its allocated power in real time. The system adjusts the priority of each device based on its needs and changes during the charging process to further optimize power allocation; S7. Charging completion and system reset: When all devices reach the charging completion state or no longer need power, the transmitter stops the corresponding power output and restores the system to standby state. The system clears the information of devices that are fully charged or leave the charging area and prepares for the next charging cycle.

2. The intelligent wireless charging power distribution method according to claim 1, characterized in that: In step S4, based on the analysis results, the system calculates the specific power value that should be allocated to each device and adjusts the power output of the transmitter to match the device list. The specific steps are as follows: S41. Power demand calculation: After device identification, the system calculates the power demand of each device based on its status. The system determines the required charging power based on the current power percentage reported by the device. The distance between the device and the transmitter affects the transmission efficiency. The system calculates the power loss in signal transmission by measuring the device signal strength. S42 Priority determination: After calculating the power demand, the system needs to sort the devices according to their priority. The basis for determining the priority includes: judging by power level: devices with low power have high priority. When the power is below a certain threshold, the system will give priority to allocating more power to them; judging by user preference: users set the priority of specific devices through the APP; judging by charging speed requirements: if the device selects the fast charging mode, the priority of the device will be increased and more power will be allocated; S43 Power allocation strategy: Based on power demand and priority, the system will implement a specific power allocation strategy. The allocation strategies include the following: Balanced allocation strategy. When the power demand of all devices is relatively balanced, the system will evenly allocate the available power of the transmitter to each device. The formula is: Assume that the maximum output power of the system is P max, the number of devices is n , then the power obtained by each device , on-demand allocation strategy, for devices with low power and high power requirements, the system will give priority to meeting the needs of these devices. The formula is: i Distributed power Pi = f ( Di , Ni , Ci ),in Di is the distance factor of the device, Ni is the power level, Ci Charging mode: fast charging, slow charging, distance-aware allocation strategy: the system will compensate the power according to the distance between the device and the transmitter. Devices farther away will be allocated more power to offset the loss in signal transmission. Formula: Assume the device i The distance from the transmitter is d , then its power demand , the system adjusts the power output according to the distance; S44. Multi-objective optimization: Multiple devices have different priorities, power requirements, distances, and charging modes. The system can use the particle swarm optimization multi-objective optimization algorithm to comprehensively consider these factors and generate the optimal power allocation solution; S45. Power output adjustment: Based on the power allocation results, the control module will adjust the output power of the transmitter in real time to match it with the calculated allocation plan. The transmitter will also adjust the power output of different frequency bands or areas to ensure that each device is charged according to its allocated power.

3. The intelligent wireless charging power distribution method according to claim 1, characterized in that: In step S6, based on the real-time monitoring data, the system dynamically adjusts the power allocation, and the specific steps are as follows; S61. Real-time monitoring: The system continuously monitors the charging status of each device by receiving real-time data fed back by the device. The monitoring contents include: charging progress, charging power receiving status, device connection status, and taking into account environmental changes: temperature monitoring, signal interference detection; S62. Power regulation mechanism: Based on the real-time monitoring data, the system triggers the following regulation mechanisms: Dynamic power regulation: When the power demand of the device changes, the system readjusts the power allocation according to the new demand. When the device switches modes, the system detects the new power demand, allocates more power to the device first, and reallocates the remaining power to other devices. When the device is detected to join or leave, the system recalculates and allocates it to other devices; S63. Abnormal detection and processing: The system detects and handles various abnormal situations during real-time adjustment: overheat protection, signal interference, charging failure, and notifies the user of the device status through the feedback mechanism; S64. Optimize power distribution: Load balancing in real-time adjustment ensures that the output power of the transmitter is reasonably distributed among various devices to avoid overloading some devices while other devices fail to obtain sufficient power. When it is detected that some devices are fully charged and the power demand decreases, the system will automatically reallocate the available power to achieve dynamic load balancing and smooth transition of multiple devices. When multiple devices are close to full power, the system will prioritize reducing the power input of these devices and gradually transfer power to other devices. S65. Data recording and optimization learning: During the charging process, the system records the device charging behavior and power allocation. By learning the user's charging habits, the system optimizes the power allocation strategy for the next time and improves the power allocation algorithm by analyzing historical data. Some devices usually require longer charging time than other devices, so the system allocates more power to these devices in advance.

4. An intelligent wireless charging power distribution system, characterized in that: The intelligent wireless charging power distribution system is used to implement the intelligent wireless charging power distribution method according to any one of claims 1 to 3; the intelligent wireless charging power distribution system comprises: a device detection and identification module, a power demand analysis module, a power distribution control module, a real-time monitoring and feedback module, and a data recording and learning optimization module; Device detection and identification module: responsible for identifying devices entering the charging area and collecting the power requirements and other relevant information of the devices. Its functions include: device discovery, information collection, and data management; Power demand analysis module: responsible for processing the information provided by the device detection and identification module and analyzing the power demand of each device. Its functions include: power demand calculation and device priority judgment; Power allocation control module: responsible for executing the power allocation algorithm and adjusting the power output of the transmitter according to the needs and priorities of each device. Its functions include: power allocation algorithm, multi-objective optimization, and power output control; Real-time monitoring and feedback module: responsible for real-time monitoring of the charging progress and status changes of each device, and feeding back the monitoring results to the power distribution control module. Its functions include: real-time charging status monitoring, status feedback, and fault detection; Data recording and learning optimization module: used to collect and analyze historical charging data to further optimize system performance. Its functions include: data recording, optimizing power allocation algorithm by analyzing historical data.

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