Intelligent wireless charging power distribution method and system

Abstract

The application discloses a kind of intelligent wireless charging power distribution method and system, to improve the efficiency and safety of multiple devices charging simultaneously, system design includes multiple key modules: device detection and identification module automatically identifies charging device and collects its power demand, power demand analysis module calculates the power demand of each device according to device power and charging mode, power distribution control module dynamically adjusts power output according to priority and distance and other factors;Real-time monitoring and feedback module ensures the stability and safety of charging process, data recording and learning optimization module optimizes charging strategy by analyzing historical data.Through the collaborative work of these modules, the system can adjust the charging power in real time, optimize the charging efficiency, improve the user experience, while ensuring the safety of the charging process.The system shows good adaptability in multiple device environment, providing an important reference and application prospect for the development of 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] Modern wireless charging of multiple devices simultaneously presents challenges such as uneven power distribution, low charging efficiency, and insufficient safety. With the widespread adoption of wireless charging technology, users often need to charge multiple devices (such as mobile phones, smartwatches, and tablets) simultaneously. However, traditional wireless charging systems typically provide only a fixed power supply and lack the flexibility to adjust to the needs of different devices, resulting in slow charging speeds or power waste for some devices. Furthermore, devices face safety risks such as overheating, irrational power distribution, and signal interference during charging. To address these issues, an intelligent wireless charging power distribution system has been designed. Through real-time monitoring, power regulation, and priority adjustment, it ensures efficient and safe wireless charging of multiple devices simultaneously. This system dynamically adjusts power output based on the device's charging status, distance, priority, and environmental changes. This not only improves charging efficiency but also optimizes the user experience, making it particularly valuable in multi-device charging scenarios such as homes and offices. Summary of the Invention

[0003] An intelligent wireless charging power distribution method comprises the following steps:

[0004] S1. System Initialization: The wireless charging transmitter (Tx) starts up and enters standby mode, preparing to detect the connected receiving device (Rx) and establish a connection between the transmitter and the control module to ensure that the system can monitor and adjust power output in real time;

[0005] S2. Device Detection and Identification: When a new device connects to the charging area, the system uses a short-range communication protocol (such as Bluetooth, NFC, or 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 then records the status of all connected devices and generates a device list.

[0006] S3. Data Collection and Analysis: The control module collects information about all identified devices, including: the current battery percentage of each device, the device's charging power requirements (e.g., standard charging and fast charging modes), the distance between the device and the transmitter (which can be estimated by signal strength), and the device's priority (e.g., emergency device, charging history, user-defined preferences). Based on this data, the system analyzes and determines the initial power requirements of each device and its priority within the system.

[0007] 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 evenly; priority allocation: For certain devices with lower power or higher priority, the system allocates more power; distance compensation allocation: For devices 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 transmitter's power output to match the device list;

[0008] S5. Power Transmission and Real-Time Monitoring: The transmitter begins transmitting power to each device according to the calculated power allocation. The control module continuously monitors the status of each device (such as received power, charging speed, and power level changes). The system establishes a feedback loop, allowing the device to report its charging progress and power level changes in real time.

[0009] 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 that device and allocates the freed 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 requirements change (for example, if a user switches to fast charging mode), the system instantly adjusts its allocated power. The system adjusts the priority of each device based on its needs and changes during the charging process, further optimizing power allocation.

[0010] S7. Charging completion and system reset: When all devices reach the charging completion state or no longer require power, the transmitter stops the corresponding power output and returns the system to standby state. The system clears the information of devices that are fully charged or have left the charging area and prepares for the next charging cycle.

[0011] Furthermore, an intelligent wireless charging power distribution method is provided.

[0012] 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:

[0013] S41. Power Requirement Calculation: After device identification, the system calculates the power requirements 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 typically require more power, while devices with higher battery levels may require less power. The distance between the device and the transmitter affects transmission efficiency. The system measures the signal strength of the device to estimate the power loss during signal transmission. Devices at greater distances require higher power output to compensate for this energy loss.

[0014] S42. Priority Determination: After calculating power requirements, the system must prioritize devices. Priority determination is based on the following criteria: Battery level: Devices with low battery levels typically have higher priority, especially when their battery level falls below a certain threshold (e.g., 20%), in which case the system allocates more power to them. User preference: Users can set the priority of specific devices through an app or other control interface, such as assigning a smartphone to charge before other devices. Charging speed requirements: If certain devices select fast charging mode, their priority is increased to allow them to receive more power.

[0015] 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. Formula: i Allocated 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 increasing distance during wireless charging, 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 that the device i The distance from the transmitter is di , then its power demand , the system adjusts the power output according to the distance;

[0016] S44. Multi-Objective Optimization: Multiple devices may have different priorities, power requirements, distances, and charging modes. The system can use a particle swarm optimization multi-objective optimization algorithm to comprehensively consider these factors and generate the optimal power allocation solution.

[0017] S45. Power output adjustment: Based on the power allocation results, the control module will adjust the transmitter's output power in real time to match the calculated allocation plan. The transmitter will also adjust the power output of different frequency bands or regions to ensure that each device is charged according to its allocated power.

[0018] Furthermore, an intelligent wireless charging power distribution method is provided.

[0019] In step S6, based on the real-time monitoring data, the system dynamically adjusts the power distribution. The specific steps are as follows:

[0020] S61. Real-time Monitoring: The system continuously monitors the charging status of each device by receiving real-time data from the device. Key monitoring items include: Charging progress: The system periodically receives power information from each device; Charging power reception status: Whether the power currently received by the device matches the allocated power, and whether there is unstable power transmission; Device connection status: Whether the device is still within the wireless charging area and still needs charging. In addition to the device status, the system also considers environmental changes, such as temperature monitoring and signal interference detection.

[0021] S62. Power Regulation Mechanism: Based on real-time monitoring data, the system triggers the following regulation mechanisms: Dynamic Power Regulation: If the power demand of a device changes, the system will readjust the power allocation based on the new demand. When a device reaches full charge, 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 a device switches modes, the system detects the new power demand and prioritizes allocating more power to the device, and reallocates the remaining power to other devices. When detecting the addition or departure of a device, the system recalculates and allocates power to other devices.

[0022] S63. Abnormal detection and processing: The system detects and handles various abnormal situations during the real-time adjustment process: 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 distribution of other devices to avoid excessive power concentration 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 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 power waste.

[0023] S64. Optimize power distribution: Load balancing during real-time adjustment ensures that the transmitter's output power is properly distributed across devices, preventing some devices from being overloaded while others are underpowered. When it detects that some devices are fully charged or their power demand is decreasing, the system automatically reallocates available power to achieve dynamic load balancing and smooth transition across multiple devices: When multiple devices are nearing full charge, the system prioritizes reducing the power input to these devices and gradually transfers power to other devices.

[0024] S65. Data recording and optimized learning: During the charging process, the system records the device's charging behavior and power allocation. This data is used for future optimization: By learning the user's charging habits (such as using fast charging during specific time periods, 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 generally require longer charging time than other devices, so the system allocates more power to these devices in advance.

[0025] 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 described above; 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;

[0026] Device detection and identification module: Responsible for identifying devices entering the charging area and collecting the device's power requirements and other related information. Its functions include: device discovery, information collection, and data management;

[0027] Power Demand Analysis Module: This module processes the information provided by the Device Detection and Identification Module and analyzes the power requirements of each device. Its functions include: power demand calculation and device priority determination.

[0028] Power Allocation Control Module: This module is responsible for executing the power allocation algorithm and adjusting the transmitter power output according to the needs and priorities of each device. Its functions include: power allocation algorithm, multi-objective optimization, and power output control.

[0029] Real-time monitoring and feedback module: This module is responsible for monitoring the charging progress and status changes of each device in real time 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.

[0030] 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.

[0031] The beneficial effects of the present invention are as follows: the system can dynamically allocate power according to the power requirements, charging mode and power level 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 level, charging status and priority, the system can dynamically adjust power allocation to ensure that high-priority or low-power devices get more power first, optimizing 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

[0032] Figure 1 A flow chart of an intelligent wireless charging power distribution method; DETAILED DESCRIPTION

[0033] An intelligent wireless charging power distribution method comprises the following steps:

[0034] S1. System Initialization: The wireless charging transmitter (Tx) starts up and enters standby mode, preparing to detect the connected receiving device (Rx) and establish a connection between the transmitter and the control module to ensure that the system can monitor and adjust power output in real time;

[0035] S2. Device Detection and Identification: When a new device connects to the charging area, the system uses a short-range communication protocol (such as Bluetooth, NFC, or 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 then records the status of all connected devices and generates a device list.

[0036] S3. Data Collection and Analysis: The control module collects information about all identified devices, including: the current battery percentage of each device, the device's charging power requirements (e.g., standard charging and fast charging modes), the distance between the device and the transmitter (which can be estimated by signal strength), and the device's priority (e.g., emergency device, charging history, user-defined preferences). Based on this data, the system analyzes and determines the initial power requirements of each device and its priority within the system.

[0037] 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 evenly; priority allocation: For certain devices with lower power or higher priority, the system allocates more power; distance compensation allocation: For devices 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 transmitter's power output to match the device list;

[0038] S5. Power Transmission and Real-Time Monitoring: The transmitter begins transmitting power to each device according to the calculated power allocation. The control module continuously monitors the status of each device (such as received power, charging speed, and power level changes). The system establishes a feedback loop, allowing the device to report its charging progress and power level changes in real time.

[0039] 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 that device and allocates the freed 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 requirements change (for example, if a user switches to fast charging mode), the system instantly adjusts its allocated power. The system adjusts the priority of each device based on its needs and changes during the charging process, further optimizing power allocation.

[0040] S7. Charging completion and system reset: When all devices reach the charging completion state or no longer require power, the transmitter stops the corresponding power output and returns the system to standby state. The system clears the information of devices that are fully charged or have left the charging area and prepares for the next charging cycle.

[0041] Furthermore, an intelligent wireless charging power distribution method is provided.

[0042] 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:

[0043] S41. Power Requirement Calculation: After device identification, the system calculates the power requirements 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 typically require more power, while devices with higher battery levels may require less power. The distance between the device and the transmitter affects transmission efficiency. The system measures the signal strength of the device to estimate the power loss during signal transmission. Devices at greater distances require higher power output to compensate for this energy loss.

[0044] S42 Priority determination: After calculating power requirements, the system must also sort devices according to their priority. Priority determination is based on the following criteria: Determination by battery level: Devices with low battery levels generally have higher priority, especially when the battery level is below a certain threshold (such as 20%), the system will prioritize them to allocate more power; Determination by user preferences: Users can set the priority of specific devices through the app or other control interfaces, such as specifying that smartphones should be charged first before other devices; Determination by charging speed requirements: If certain devices select the fast charging mode, the priority of these devices will be increased to allow them to be allocated more power;

[0045] 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. Formula: i Allocated 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 increasing distance during wireless charging, 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 that the device i The distance from the transmitter is di , then its power demand , the system adjusts the power output according to the distance;

[0046] S44. Multi-Objective Optimization: Multiple devices may have different priorities, power requirements, distances, and charging modes. The system can use a particle swarm optimization multi-objective optimization algorithm to comprehensively consider these factors and generate the optimal power allocation solution.

[0047] S45. Power output adjustment: Based on the power allocation results, the control module will adjust the transmitter's output power in real time to match the calculated allocation plan. The transmitter will also adjust the power output of different frequency bands or regions to ensure that each device is charged according to its allocated power.

[0048] Furthermore, an intelligent wireless charging power distribution method is provided.

[0049] In step S6, based on the real-time monitoring data, the system dynamically adjusts the power distribution. The specific steps are as follows:

[0050] S61. Real-time Monitoring: The system continuously monitors the charging status of each device by receiving real-time data from the device. Key monitoring items include: Charging progress: The system periodically receives power information from each device; Charging power reception status: Whether the power currently received by the device matches the allocated power, and whether there is unstable power transmission; Device connection status: Whether the device is still within the wireless charging area and still needs charging. In addition to the device status, the system also considers environmental changes, such as temperature monitoring and signal interference detection.

[0051] S62. Power Regulation Mechanism: Based on real-time monitoring data, the system triggers the following regulation mechanisms: Dynamic Power Regulation: If the power demand of a device changes, the system will readjust the power allocation based on the new demand. When a device reaches full charge, 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 a device switches modes, the system detects the new power demand and prioritizes allocating more power to the device, and reallocates the remaining power to other devices. When detecting the addition or departure of a device, the system recalculates and allocates power to other devices.

[0052] S63. Abnormal detection and processing: The system detects and handles various abnormal situations during the real-time adjustment process: 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 distribution of other devices to avoid excessive power concentration 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 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 power waste.

[0053] S64. Optimize power distribution: Load balancing during real-time adjustment ensures that the transmitter's output power is properly distributed across devices, preventing some devices from being overloaded while others are underpowered. When it detects that some devices are fully charged or their power demand is decreasing, the system automatically reallocates available power to achieve dynamic load balancing and smooth transition across multiple devices: When multiple devices are nearing full charge, the system prioritizes reducing the power input to these devices and gradually transfers power to other devices.

[0054] S65. Data recording and optimized learning: During the charging process, the system records the device's charging behavior and power allocation. This data is used for future optimization: By learning the user's charging habits (such as using fast charging during specific time periods, 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 generally require longer charging time than other devices, so the system allocates more power to these devices in advance.

[0055] 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 described above; 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;

[0056] Device detection and identification module: Responsible for identifying devices entering the charging area and collecting the device's power requirements and other related information. Its functions include: device discovery, information collection, and data management;

[0057] Power Demand Analysis Module: This module processes the information provided by the Device Detection and Identification Module and analyzes the power requirements of each device. Its functions include: power demand calculation and device priority determination.

[0058] Power Allocation Control Module: This module is responsible for executing the power allocation algorithm and adjusting the transmitter power output according to the needs and priorities of each device. Its functions include: power allocation algorithm, multi-objective optimization, and power output control.

[0059] Real-time monitoring and feedback module: This module is responsible for monitoring the charging progress and status changes of each device in real time 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.

[0060] 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 standby mode, preparing to detect connected receiving devices, establish a connection between the transmitter and the control module, and the system monitors and adjusts power output in real time; S2. Device Detection and Identification: When a new device connects to the charging area, the system uses a 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 battery level of each device, the device's charging power requirement, the device's distance from the transmitter, and the device's priority. Based on this data, the system analyzes and determines the initial power requirements of each device and their priority within the system. S4. Power Allocation Algorithm Execution: The control module runs an adaptive power allocation algorithm using methods such as balanced allocation, priority allocation, and distance-compensated allocation. Based on the analysis results, the system calculates the specific power value to be allocated to each device and adjusts the transmitter's power output to match the device list. S5. Power Transmission and Real-Time Monitoring: The transmitter begins transmitting power to each device according to the calculated power allocation. The control module continuously monitors the status of each device: received power, charging speed, and power level changes. The system establishes a feedback loop, allowing the device to report its charging progress and power level changes 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 that device and allocates the freed 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 instantly adjusts its allocated power. The system adjusts the priority of each device based on its needs and changes during charging, further optimizing power allocation. S7. Charging completion and system reset: When all devices reach the charging completion state or no longer require power, the transmitter stops the corresponding power output and returns the system to standby state. The system clears the information of devices that are fully charged or have left the charging area and prepares for the next charging cycle.

2. The intelligent wireless charging power distribution method according to claim 1, wherein: 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 requirements of each device based on its status. The system determines the required charging power based on the current battery percentage reported by the device. The distance between the device and the transmitter affects transmission efficiency. The system measures the device's signal strength to calculate the power loss during signal transmission. S42 Priority Determination: After calculating power requirements, the system must prioritize devices. Priority determination is based on the following criteria: Battery level: Devices with low battery levels have higher priority. When the battery level falls below a certain threshold, the system allocates more power to them. User preference: Users can set the priority of specific devices through the app. Charging speed requirement: If a device selects fast charging mode, the device's priority will be increased, resulting in more power allocation. 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 distribute 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, formula: i Allocated 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 perception allocation strategy: the system will compensate the power according to the distance between the device and the transmitter. The device with a longer distance will be allocated more power to offset the loss in signal transmission. Formula: Assume the device i The distance from the transmitter is di , 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. The system can use a particle swarm optimization (PSO) 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 transmitter's output power in real time to match the calculated allocation plan. The transmitter will also adjust the power output of different frequency bands or regions to ensure that each device is charged according to its allocated power.

3. The intelligent wireless charging power distribution method according to claim 1, wherein: In step S6, based on the real-time monitoring data, the system dynamically adjusts the power distribution. 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 from the device. Monitoring includes: charging progress, charging power reception status, device connection status, and takes into account environmental changes such as temperature monitoring and signal interference detection. S62. Power Regulation Mechanism: Based on real-time monitoring data, the system triggers the following regulation mechanisms: Dynamic Power Regulation: When a device's power demand changes, the system readjusts power allocation based on the new demand. When a device switches modes, the system detects the new power demand and prioritizes allocating more power to that device, reallocating the remaining power to other devices. When a device joins or leaves, the system recalculates and allocates power to other devices. S63. Abnormal Detection and Handling: The system detects and handles various abnormal conditions during real-time regulation, including overheating, signal interference, and charging failures, and notifies the user of the device status through a feedback mechanism. S64. Optimize power distribution: Load balancing during real-time adjustment ensures that the transmitter's output power is properly distributed across devices, preventing some devices from being overloaded while others are underpowered. When it detects that some devices are fully charged and power demand is decreasing, the system automatically reallocates available power, achieving dynamic load balancing and smooth transition across multiple devices. When multiple devices are nearing full charge, the system prioritizes reducing power input to these devices and gradually transferring power to other devices. S65. Data recording and optimized learning: During the charging process, the system records the device's 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 generally require longer charging time than others, 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 includes: 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 device's power requirements and other related information. Its functions include: device discovery, information collection, and data management; Power demand analysis module: This module processes the information provided by the device detection and identification module and analyzes the power demand of each device. Its functions include power demand calculation and device priority determination. Power Allocation Control Module: This module is responsible for executing the power allocation algorithm and adjusting the transmitter power output 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: This module is responsible for monitoring the charging progress and status changes of each device in real time 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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