Intelligent charging control method based on AI charger

Abstract

The invention discloses an intelligent charging control method based on an AI charger. The intelligent charging control method comprises the following steps: step 1, identifying connection equipment; step 2, an intelligent power distribution step; step 3, a charging time setting step; 4, calculating an adaptive charging strategy; step 5, a charging execution step; step 6, an equipment charging habit learning step; 7, predicting the use of equipment; 8, a charging strategy pre-adjustment step; and 9, a charging strategy execution feedback step. According to the AI charger, through intelligent power distribution, flexible time setting, habit learning, use prediction and strategy pre-adjustment, the charging efficiency is remarkably improved, the user experience is optimized, the battery health is protected, the charging stability and safety are improved through a closed-loop control system of the AI charger, and the AI charger has wide application prospects.

Description

Technical Field

[0001] The present invention relates to the technical field of chargers, and in particular to an intelligent charging control method based on an AI charger. Background Art

[0002] A charger is an electronic device that uses high-frequency power supply technology or intelligent dynamic adjustment technology to convert alternating current (AC) into low-voltage direct current (DC) to power rechargeable batteries. Its core functions include voltage conversion, current regulation, and charging process control to ensure safe and efficient battery charging.

[0003] Traditional chargers have problems such as uneven power distribution and low efficiency when charging multiple devices. It is also difficult to flexibly adjust the charging power and time according to the actual needs of the devices, resulting in a poor charging experience.

[0004] At the same time, traditional chargers lack intelligent charging time adjustment functions and cannot meet users' charging needs in different scenarios. Therefore, an intelligent charging control method based on AI charger is proposed. Summary of the Invention

[0005] In view of the shortcomings of the existing technology, the present invention provides an intelligent charging control method based on an AI charger to solve the problems raised in the above background technology.

[0006] To achieve the above objectives, the present invention provides the following technical solution: an intelligent charging control method based on an AI charger, comprising the following steps: Step 1: Connect device identification steps: Identify the type, model, and battery status of the device connected to the charger through the AI control unit; Step 2: Intelligent power distribution steps: Based on the recognition results of step 1, the appropriate charging power is automatically allocated to each device; Step 3: Charging time setting steps: Users set the charging time for each device through mobile phone APP or AI voice; Step 4: Calculation steps for adaptive charging strategy: The AI control unit calculates the appropriate charging strategy based on the time set in step 3 and the current power level of the device in step 1; Step 5: Charging steps: Charge the device according to the charging strategy calculated in step 4; Step 6: Learning device charging habits: The AI control unit records each device's charging habits and usage patterns; Step 7: Equipment usage prediction steps: Based on the learning results of step 6, predict the next time the device is used and the required power; Step 8: Pre-adjustment of charging strategy: Adjust the charging strategy in advance based on the prediction results of step 7; Step 9: Charging strategy execution feedback steps: During the charging process in step 5, the charging status is continuously monitored and fed back to the AI control unit to optimize the subsequent charging strategy; By introducing key steps such as intelligent power distribution, charging time setting, and adaptive charging strategy calculation, it effectively solves the problems of uneven power distribution and inflexible charging time setting in traditional chargers, significantly improves charging efficiency, and ensures the safety and stability of the charging process. This method not only improves charging efficiency, but also uses the AI control unit to learn the device's charging habits and usage patterns, predict the device's next usage time and required power, and adjust the charging strategy in advance. This intelligent function not only optimizes energy use and reduces unnecessary energy consumption, but also significantly improves the user experience. Users can easily set the charging time through a mobile phone app or AI voice to meet charging needs in different scenarios, realizing personalized and flexible charging processes. Furthermore, this method continuously monitors the charging status during the charging process and provides real-time feedback to the AI control unit, forming a closed-loop control system. This system not only improves charging stability and safety, but also helps to promptly detect and address potential charging issues. Furthermore, consideration of external environmental factors and monitoring and handling of abnormalities during charging further enhance the safety and efficiency of the charging process. To sum up, the intelligent charging control method based on AI charger effectively solves the problems existing in traditional chargers through innovative steps and technical contributions, improves charging efficiency, safety and user experience, and is a systematic and comprehensive solution.

[0007] Preferably, the device identification in step 1 further includes identifying the support status of the device charging protocol, so as to allocate the charging power according to the charging protocol in step 2; By accurately identifying the device's charging protocol, the charger can more accurately allocate charging power to ensure efficient charging. This intelligent power allocation not only improves charging efficiency but also effectively avoids the low charging efficiency caused by uneven power distribution in traditional chargers. Charging protocol recognition enhances the safety of the charging process. By identifying the device's charging protocol, the charger can ensure that the charging parameters perfectly match the device's requirements, avoiding overcharging or over-discharging, thereby effectively extending the battery life and improving the safety of the charging process. Charging protocol recognition also significantly improves the user experience. Users no longer need to manually adjust charging settings. The charger can automatically identify and apply the most appropriate charging strategy. This intelligent operation not only simplifies the user's charging process, but also ensures that the device is fully charged safely and efficiently in the shortest time. By supporting multiple charging protocols, this method improves the compatibility of the charger. Whether it is the mainstream charging protocol on the market or some proprietary protocols, the charger can automatically identify and apply the corresponding charging strategy. This wide compatibility enables the charger to support more types of devices, improving its practicality and flexibility.

[0008] Preferably, the charging protocol includes but is not limited to PD3.0, PD3.1, UFCS, QC, SCP / FCP, UFS and Red Magic proprietary protocol; Support for multiple charging protocols, including PD3.0, PD3.1, UFCS, QC, SCP / FCP, UFS, and Red Magic's proprietary protocol, significantly enhances the charger's compatibility. This feature enables the charger to seamlessly adapt to various brands and models of devices on the market to meet diverse charging needs. Users are no longer restricted to specific brands or models of chargers and can enjoy an efficient and convenient charging experience regardless of the device they use. Supporting multiple charging protocols also improves the market adaptability of the charger. With the continuous advancement of charging technology and the rapid update of device models, the charger can continue to be compatible with new devices, maintaining its market competitiveness and practicality. This wide compatibility brings convenience to users.

[0009] Preferably, the intelligent power allocation in step 2 further includes limiting the total power to ensure that the total charging power of all connected devices does not exceed the maximum power limit of the charger; The total power limit function in intelligent power distribution significantly improves charger safety and efficiency. First, it ensures that the total charging power of all connected devices does not exceed the maximum power limit of the charger, effectively avoiding safety hazards such as overload and overheating, and ensuring a safe and stable charging process. The total power limit function rationally allocates power resources so that each device can receive the charging power that matches its needs, thereby improving overall charging efficiency. This intelligent power allocation method not only ensures that each device can charge efficiently, but also helps to extend the life of the device battery. The total power limit function also provides users with a more convenient and secure user experience. Users do not need to worry about the charger being damaged due to overload, nor do they need to manually adjust the charging power of each device to achieve a safe and efficient charging process. This intelligent power management not only improves charging efficiency, but also enhances user trust and satisfaction with the charger.

[0010] Preferably, the charging time setting in step 3 also includes setting the charging priority of the device, and the AI control unit considers the charging priority when calculating the adaptive charging strategy in step 4; The introduction of device charging priority in charging time settings has significantly improved charging efficiency and user experience. Users can flexibly set charging priorities for different devices, allowing devices that urgently need charging to receive charging power first, thereby improving overall charging efficiency. This personalized charging management not only meets users' charging needs in different scenarios, but also enhances the flexibility of charging management. The AI control unit intelligently calculates and adapts charging strategies based on charging priorities. This intelligent charging management not only ensures accurate and efficient charging, but also helps extend the life of device batteries. By prioritizing charging for important devices, users can confidently charge multiple devices without worrying about inefficient charging due to uneven power distribution. The charging priority setting also brings users a more convenient and efficient user experience. Users can adjust the charging priority at any time according to their own needs, realizing dynamic charging management and other intelligent charging strategy adjustments.

[0011] Preferably, the adaptive charging strategy calculation in step 4 also includes consideration of the health of the device battery to avoid damage to the battery caused by overcharging or over-discharging; Taking the device battery health into account when calculating the adaptive charging strategy significantly improves charger safety and battery protection. By monitoring the battery health status in real time, the charger can intelligently adjust the charging strategy to avoid overcharging or over-discharging, effectively protecting the battery from damage. This intelligent charging management not only extends the battery life but also improves the safety of the charging process. Users no longer need to worry about safety hazards caused by battery aging or improper charging. They can use chargers to charge their devices with greater confidence. At the same time, charging strategies that take battery health into consideration also help maintain good battery performance and ensure long-term stable operation of the device, which is a thoughtful battery protection function.

[0012] Preferably, the device charging habit learning in step 6 further includes recording the device charging location, so as to provide personalized charging suggestions during subsequent charging; The feature of recording device charging locations during device charging habit learning significantly improves user experience and charging efficiency. By recording charging habits at different locations, the charger can understand the user's charging needs in different scenarios and provide personalized charging recommendations. For example, at a user's frequently charged location, the charger can automatically adjust the charging strategy to ensure the device is fully charged in the shortest possible time, meeting the user's urgent charging needs. This personalized charging management not only improves charging efficiency but also enhances user trust and satisfaction with the charger. Users no longer need to manually adjust charging settings when charging at different locations; the charger automatically identifies and provides the appropriate charging strategy. This intelligent charging management not only simplifies the user's charging process but also enhances the overall charging experience. Recording the charging location also helps the charger optimize its charging strategy. It adjusts the charging power and charging time according to the power supply and usage habits in different locations, further improving the charging efficiency. This is a thoughtful functional design.

[0013] Preferably, the device usage prediction in step 7 further includes a prediction of the device usage scenario, such as predicting whether the device is used at home, in the office, or outside, so as to adjust the charging strategy to adapt to the charging needs in different scenarios; The device usage prediction function takes device usage scenarios into account, significantly improving the charger's intelligence and user experience. By predicting whether a device is being used at home, in the office, or on the go, the charger can intelligently adjust its charging strategy to suit the charging needs of different scenarios. For example, when the user is using the device on the go, the charger can prioritize fast charging to ensure sufficient power while the device is on the move. When using the device at home or in the office, the charger can adopt a more gentle and long-lasting charging method to help extend battery life. This scenario-based charging management not only improves charging efficiency but also enhances user trust and satisfaction with the charger. Users no longer need to manually adjust charging settings when using their devices in different scenarios; the charger automatically identifies and provides corresponding charging strategies. This intelligent charging management not only simplifies the user's charging process but also enhances the overall charging experience. In addition, predicting device usage scenarios also helps chargers optimize charging plans. They adjust charging power and charging time according to power supply conditions and usage habits in different scenarios, further improving charging efficiency.

[0014] Preferably, the charging strategy pre-adjustment in step eight also includes consideration of external environmental factors, such as temperature and humidity, to ensure the safety and efficiency of the charging process; Taking external environmental factors, such as temperature and humidity, into account during pre-adjustment of charging strategies significantly improves charger safety and efficiency. By monitoring external environmental conditions in real time, the charger can intelligently adjust its charging strategy to avoid charging in harsh environments such as high temperature and high humidity, effectively preventing charging safety risks caused by environmental factors. At the same time, adjusting the charging strategy based on external environmental factors can optimize charging efficiency. For example, in low-temperature environments, the charger can appropriately increase the charging power to speed up charging; in high-temperature environments, the charger can adopt a more gentle charging method to avoid battery overheating. This intelligent charging management not only ensures the safety of the charging process, but also improves charging efficiency. In addition, the pre-adjustment of the charging strategy taking into account external environmental factors also enhances the environmental adaptability of the charger. No matter what environment the user is in, the charger can automatically adjust the charging strategy.

[0015] Preferably, the charging strategy execution feedback in step nine also includes monitoring and handling of abnormal conditions that occur during the charging process, such as excessive temperature, unstable voltage, etc., to ensure the safety of the charging process; The monitoring and handling of abnormal charging conditions during charging strategy execution feedback brings significant benefits in many aspects. First, from the perspective of charging safety, by real-time monitoring of key parameters such as temperature and voltage during the charging process, the charger can quickly detect abnormal conditions such as overtemperature and unstable voltage and take appropriate measures to address them. This real-time monitoring and feedback mechanism effectively prevents charging safety hazards caused by abnormal conditions and ensures the safe charging process. Secondly, the efficiency of exception handling has been significantly improved. Traditional chargers often fail to detect and handle abnormal situations in a timely manner, resulting in interruptions in the charging process or damage to the equipment. Chargers with the function of monitoring and handling abnormal situations can respond quickly the moment an abnormality occurs, taking measures such as reducing charging power or stopping charging, thereby effectively avoiding more serious consequences. In addition, this feature significantly improves the user experience. Users no longer need to worry about any abnormalities that may occur during the charging process, allowing them to charge their devices with greater confidence. This peace of mind not only increases user trust in the charger, but also strengthens user loyalty to the brand. At the same time, monitoring and handling abnormal situations can also help protect equipment from damage. By promptly detecting and handling abnormal situations, damage to the device battery caused by factors such as overcharging, over-discharging or voltage instability can be avoided, thereby extending the service life of the device.

[0016] In summary, compared with the prior art, the present invention provides an intelligent charging control method based on an AI charger, which has the following beneficial effects: This invention uses intelligent power distribution technology to effectively solve the problem of uneven power distribution in traditional chargers when charging multiple devices, significantly improving charging efficiency and ensuring that each device can obtain the most appropriate charging power, thereby shortening charging time and improving user experience. Secondly, this method provides a flexible charging time setting function. Users can easily set the charging time of each device through a mobile phone app or AI voice to meet the charging needs of different scenarios. This flexibility not only improves user convenience, but also helps avoid overcharging or over-discharging, thereby extending the battery life. In addition, the AI control unit can learn the device's charging habits and usage patterns, predict the device's next use time and required power, and adjust the charging strategy in advance. This intelligent function not only improves charging accuracy and efficiency, but also helps optimize energy use and reduce unnecessary energy consumption; Finally, this method continuously monitors the charging status during the charging process and provides real-time feedback to the AI control unit to dynamically adjust the charging strategy. This closed-loop control system not only improves charging stability and safety, but also helps to promptly identify and address potential charging issues, further improving user experience and battery health. The intelligent charging control method based on AI charger significantly improves charging efficiency, user experience and battery health through functions such as intelligent power allocation, flexible charging time setting, device charging habit learning, device usage prediction and charging strategy pre-adjustment. It is an innovative charging solution with broad application prospects. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 This is a step diagram of the intelligent charging control method of the invention.

[0018] Figure 2 This is a schematic diagram of the AI intelligent interaction of this invention.

[0019] Figure 3 It is a flow chart of the charging process of the invention. DETAILED DESCRIPTION

[0020] The present invention provides a technical solution, an intelligent charging control method based on AI charger, please refer to Figure 1 、 Figure 2 and Figure 3 , including the following steps: Step 1: Connect device identification steps: Identify the type, model, and battery status of the device connected to the charger through the AI control unit; Step 2: Intelligent power distribution steps: Based on the recognition results of step 1, the appropriate charging power is automatically allocated to each device; Step 3: Charging time setting steps: Users set the charging time for each device through mobile phone APP or AI voice; Step 4: Calculation steps for adaptive charging strategy: The AI control unit calculates the appropriate charging strategy based on the time set in step 3 and the current power level of the device in step 1; Step 5: Charging steps: Charge the device according to the charging strategy calculated in step 4; Step 6: Learning device charging habits: The AI control unit records each device's charging habits and usage patterns; Step 7: Equipment usage prediction steps: Based on the learning results of step 6, predict the next time the device is used and the required power; Step 8: Pre-adjustment of charging strategy: Adjust the charging strategy in advance based on the prediction results of step 7; Step 9: Charging strategy execution feedback steps: During the charging process in step 5, the charging status is continuously monitored and fed back to the AI control unit to optimize the subsequent charging strategy; By introducing key steps such as intelligent power distribution, charging time setting, and adaptive charging strategy calculation, it effectively solves the problems of uneven power distribution and inflexible charging time setting in traditional chargers, significantly improves charging efficiency, and ensures the safety and stability of the charging process. This method not only improves charging efficiency, but also uses the AI control unit to learn the device's charging habits and usage patterns, predict the device's next usage time and required power, and adjust the charging strategy in advance. This intelligent function not only optimizes energy use and reduces unnecessary energy consumption, but also significantly improves the user experience. Users can easily set the charging time through a mobile phone app or AI voice to meet charging needs in different scenarios, realizing personalized and flexible charging processes. Furthermore, this method continuously monitors the charging status during the charging process and provides real-time feedback to the AI control unit, forming a closed-loop control system. This system not only improves charging stability and safety, but also helps to promptly detect and address potential charging issues. Furthermore, consideration of external environmental factors and monitoring and handling of abnormalities during charging further enhance the safety and efficiency of the charging process. In summary, the intelligent charging control method based on AI charger effectively solves the problems existing in traditional chargers through innovative steps and technical contributions, improves charging efficiency, safety and user experience, and is a systematic and comprehensive solution.

[0021] See also Figure 1 、 Figure 2 and Figure 3, the device identification in step one also includes identifying the support status of the device charging protocol, so that the charging power can be allocated according to the charging protocol in step two; By accurately identifying the device's charging protocol, the charger can more accurately allocate charging power to ensure efficient charging. This intelligent power allocation not only improves charging efficiency but also effectively avoids the low charging efficiency caused by uneven power distribution in traditional chargers. Charging protocol recognition enhances the safety of the charging process. By identifying the device's charging protocol, the charger can ensure that the charging parameters perfectly match the device's requirements, avoiding overcharging or over-discharging, thereby effectively extending the battery life and improving the safety of the charging process. Charging protocol recognition also significantly improves the user experience. Users no longer need to manually adjust charging settings. The charger can automatically identify and apply the most appropriate charging strategy. This intelligent operation not only simplifies the user's charging process, but also ensures that the device is fully charged safely and efficiently in the shortest time. By supporting multiple charging protocols, this method improves the compatibility of the charger. Whether it is the mainstream charging protocol on the market or some proprietary protocols, the charger can automatically identify and apply the corresponding charging strategy. This wide compatibility enables the charger to support more types of devices, improving its practicality and flexibility.

[0022] See also Figure 1 、 Figure 2 and Figure 3 , charging protocols include but are not limited to PD3.0, PD3.1, UFCS, QC, SCP / FCP, UFS and Red Magic private protocol; Support for multiple charging protocols, including PD3.0, PD3.1, UFCS, QC, SCP / FCP, UFS, and Red Magic's proprietary protocol, significantly enhances the charger's compatibility. This feature enables the charger to seamlessly adapt to various brands and models of devices on the market to meet diverse charging needs. Users are no longer restricted to specific brands or models of chargers and can enjoy an efficient and convenient charging experience regardless of the device they use. Supporting multiple charging protocols also improves the market adaptability of the charger. With the continuous advancement of charging technology and the rapid update of device models, the charger can continue to be compatible with new devices, maintaining its market competitiveness and practicality. This wide compatibility brings convenience to users.

[0023] See also Figure 1 、 Figure 2 and Figure 3 ,The intelligent power allocation in step 2 also includes a limit on the total ,power, ensuring that the total charging power of all connected devices does not exceed the ,maximum power limit of the charger; The total power limit function in intelligent power distribution significantly improves charger safety and efficiency. First, it ensures that the total charging power of all connected devices does not exceed the maximum power limit of the charger, effectively avoiding safety hazards such as overload and overheating, and ensuring a safe and stable charging process. The total power limit function rationally allocates power resources so that each device can receive the charging power that matches its needs, thereby improving overall charging efficiency. This intelligent power allocation method not only ensures that each device can charge efficiently, but also helps to extend the life of the device battery. The total power limit function also provides users with a more convenient and secure user experience. Users do not need to worry about the charger being damaged due to overload, nor do they need to manually adjust the charging power of each device to achieve a safe and efficient charging process. This intelligent power management not only improves charging efficiency, but also enhances user trust and satisfaction with the charger.

[0024] See also Figure 1 、 Figure 2 and Figure 3 ,The charging time setting in step three also includes setting the charging priority of the device. The AI control unit considers the charging priority when calculating the adaptive charging strategy in step four; The introduction of device charging priority in charging time settings has significantly improved charging efficiency and user experience. Users can flexibly set charging priorities for different devices, allowing devices that urgently need charging to receive charging power first, thereby improving overall charging efficiency. This personalized charging management not only meets users' charging needs in different scenarios, but also enhances the flexibility of charging management. The AI control unit intelligently calculates and adapts charging strategies based on charging priorities. This intelligent charging management not only ensures accurate and efficient charging, but also helps extend the life of device batteries. By prioritizing charging for important devices, users can confidently charge multiple devices without worrying about inefficient charging due to uneven power distribution. The charging priority setting also brings users a more convenient and efficient user experience. Users can adjust the charging priority at any time according to their own needs, realizing dynamic charging management and other intelligent charging strategy adjustments.

[0025] See also Figure 1 、 Figure 2 and Figure 3 ,The calculation of the adaptive charging strategy in step 4 also ,considers the health status of the device battery to avoid ,damage to the battery caused by overcharging or over-discharging; Taking the device battery health into account when calculating the adaptive charging strategy significantly improves charger safety and battery protection. By monitoring the battery health status in real time, the charger can intelligently adjust the charging strategy to avoid overcharging or over-discharging, effectively protecting the battery from damage. This intelligent charging management not only extends the battery life but also improves the safety of the charging process. Users no longer need to worry about safety hazards caused by battery aging or improper charging. They can use chargers to charge their devices with greater confidence. At the same time, charging strategies that take battery health into consideration also help maintain good battery performance and ensure long-term stable operation of the device, which is a thoughtful battery protection function.

[0026] See also Figure 1 、 Figure 2 and Figure 3 ,The device charging habit learning in step 6 also includes recording the ,location where the device is charged so as to provide personalized ,charging suggestions during subsequent charging; The feature of recording device charging locations during device charging habit learning significantly improves user experience and charging efficiency. By recording charging habits at different locations, the charger can understand the user's charging needs in different scenarios and provide personalized charging recommendations. For example, at a user's frequently charged location, the charger can automatically adjust the charging strategy to ensure the device is fully charged in the shortest possible time, meeting the user's urgent charging needs. This personalized charging management not only improves charging efficiency but also enhances user trust and satisfaction with the charger. Users no longer need to manually adjust charging settings when charging at different locations; the charger automatically identifies and provides the appropriate charging strategy. This intelligent charging management not only simplifies the user's charging process but also enhances the overall charging experience. Recording the charging location also helps the charger optimize its charging strategy. It adjusts the charging power and charging time according to the power supply and usage habits in different locations, further improving the charging efficiency. This is a thoughtful functional design.

[0027] See also Figure 1 、 Figure 2 and Figure 3 ,The device usage prediction in step seven also includes the prediction of ,device usage scenarios, such as whether the device is used at home, in the office, or ,outside, so as to adjust the charging strategy to ,adapt to the charging needs in different scenarios; The device usage prediction function takes device usage scenarios into account, significantly improving the charger's intelligence and user experience. By predicting whether a device is being used at home, in the office, or on the go, the charger can intelligently adjust its charging strategy to suit the charging needs of different scenarios. For example, when the user is using the device on the go, the charger can prioritize fast charging to ensure sufficient power while the device is on the move. When using the device at home or in the office, the charger can adopt a more gentle and long-lasting charging method to help extend battery life. This scenario-based charging management not only improves charging efficiency but also enhances user trust and satisfaction with the charger. Users no longer need to manually adjust charging settings when using their devices in different scenarios; the charger automatically identifies and provides corresponding charging strategies. This intelligent charging management not only simplifies the user's charging process but also enhances the overall charging experience. In addition, predicting device usage scenarios also helps chargers optimize charging plans. They adjust charging power and charging time according to power supply conditions and usage habits in different scenarios, further improving charging efficiency.

[0028] See also Figure 1 、 Figure 2 and Figure 3 ,The charging strategy pre-adjustment in step eight also includes consideration of external ,environmental factors, such as temperature and humidity, to ensure the safety and ,efficiency of the charging process; Taking external environmental factors, such as temperature and humidity, into account during pre-adjustment of charging strategies significantly improves charger safety and efficiency. By monitoring external environmental conditions in real time, the charger can intelligently adjust its charging strategy to avoid charging in harsh environments such as high temperature and high humidity, effectively preventing charging safety risks caused by environmental factors. At the same time, adjusting the charging strategy based on external environmental factors can optimize charging efficiency. For example, in low-temperature environments, the charger can appropriately increase the charging power to speed up charging; in high-temperature environments, the charger can adopt a more gentle charging method to avoid battery overheating. This intelligent charging management not only ensures the safety of the charging process, but also improves charging efficiency. In addition, the pre-adjustment of the charging strategy taking into account external environmental factors also enhances the environmental adaptability of the charger. No matter what environment the user is in, the charger can automatically adjust the charging strategy.

[0029] See also Figure 1 、 Figure 2 and Figure 3 ,The charging strategy execution feedback in step nine also includes monitoring and handling of ,abnormal conditions that occur during the charging process, such as over-temperature and ,instability of voltage, to ensure the safe charging process; The monitoring and handling of abnormal charging conditions during charging strategy execution feedback brings significant benefits in many aspects. First, from the perspective of charging safety, by real-time monitoring of key parameters such as temperature and voltage during the charging process, the charger can quickly detect abnormal conditions such as overtemperature and unstable voltage and take appropriate measures to address them. This real-time monitoring and feedback mechanism effectively prevents charging safety hazards caused by abnormal conditions and ensures the safe charging process. Secondly, the efficiency of exception handling has been significantly improved. Traditional chargers often fail to detect and handle abnormal situations in a timely manner, resulting in interruptions in the charging process or damage to the equipment. Chargers with the function of monitoring and handling abnormal situations can respond quickly the moment an abnormality occurs, taking measures such as reducing charging power or stopping charging, thereby effectively avoiding more serious consequences. In addition, this feature significantly improves the user experience. Users no longer need to worry about any abnormalities that may occur during the charging process, allowing them to charge their devices with greater confidence. This peace of mind not only increases user trust in the charger, but also strengthens user loyalty to the brand. At the same time, monitoring and handling abnormal situations can also help protect equipment from damage. By promptly detecting and handling abnormal situations, damage to the device battery caused by factors such as overcharging, over-discharging or voltage instability can be avoided, thereby extending the service life of the device.

[0030] It should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that includes a list of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or apparatus.

[0031] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. An intelligent charging control method based on AI charger, characterized in that: The steps include: Step 1: Connect device identification steps: Identify the type, model, and battery status of the device connected to the charger through the AI control unit; Step 2: Intelligent power distribution steps: Based on the recognition results of step 1, the appropriate charging power is automatically allocated to each device; Step 3: Charging time setting steps: Users set the charging time for each device through mobile phone APP or AI voice; Step 4: Calculation steps for adaptive charging strategy: The AI control unit calculates the appropriate charging strategy based on the time set in step 3 and the current power level of the device in step 1; Step 5: Charging steps: Charge the device according to the charging strategy calculated in step 4; Step 6: Learning device charging habits: The AI control unit records each device's charging habits and usage patterns; Step 7: Equipment usage prediction steps: Based on the learning results of step 6, predict the next time the device is used and the required power; Step 8: Pre-adjustment of charging strategy: Adjust the charging strategy in advance based on the prediction results of step 7; Step 9: Charging strategy execution feedback steps: During the charging process in step five, the charging status is continuously monitored and fed back to the AI control unit to optimize the subsequent charging strategy.

2. The intelligent charging control method based on an AI charger according to claim 1, characterized in that: The device identification in step 1 also includes identification of support for the device charging protocol.

3. The intelligent charging control method based on an AI charger according to claim 1, characterized in that: The charging protocols include but are not limited to PD3.0, PD3.1, UFCS, QC, SCP / FCP, UFS and Red Magic proprietary protocols.

4. The intelligent charging control method based on an AI charger according to claim 1, characterized in that: The intelligent power allocation in step 2 also includes limiting the total power.

5. The intelligent charging control method based on the AI charger according to claim 1, characterized in that: The charging time setting in step three also includes setting the charging priority of the device. The AI control unit considers the charging priority when calculating the adaptive charging strategy in step four.

6. The intelligent charging control method based on an AI charger according to claim 1, characterized in that: The calculation of the adaptive charging strategy in step 4 also includes consideration of the health status of the device battery.

7. The intelligent charging control method based on an AI charger according to claim 1, characterized in that: The device charging habit learning in step 6 also includes recording the device charging location.

8. The intelligent charging control method based on an AI charger according to claim 1, characterized in that: The device usage prediction in step seven also includes a prediction of device usage scenarios.

9. The intelligent charging control method based on an AI charger according to claim 1, characterized in that: The charging strategy pre-adjustment in step eight also includes consideration of external environmental factors.

10. The intelligent charging control method based on AI charger according to claim 1, characterized in that: The charging strategy execution feedback in step nine also includes monitoring and handling of abnormal situations that occur during the charging process.

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