Quick charger and multi-port intelligent identification method thereof

Abstract

The invention provides a quick charger and a multi-port intelligent identification method thereof. The quick charger comprises a shell, a power input interface, a plurality of charging output ports and a control circuit board, the plurality of charging output ports are used for connecting data line ports of different types of electronic equipment; and the control circuit board is arranged in the shell, comprises a microprocessor and a plurality of charger control working circuits, and is used for carrying out real-time distribution on the power supply voltage according to the charging state of the charging equipment of each port, collecting the working state information of the charger in real time and sending the working state information to the APP end. According to the invention, the power of the power supply is reasonably distributed, high efficiency and safety during simultaneous charging of multiple devices are guaranteed, abnormal charging or damage of the devices caused by unreasonable power distribution is avoided, simultaneous rapid charging of the multiple devices is realized, and the charging efficiency is improved. And charging parameters of different devices are automatically adapted through the charging management circuit, and the power supply voltage is distributed in real time according to the charging parameters, so that the safety and the high efficiency of charging are ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of electronic device charging, and particularly relates to a fast charger and a multi-port intelligent recognition method therefor. Background Art

[0002] With the popularization of smart devices, the number of devices that need to be charged around people is increasing day by day, such as mobile phones, tablets, smart watches, wireless earphones, etc. Traditional chargers often have problems such as slow charging speed and single port function, and cannot meet the user's demand for simultaneous fast charging of multiple devices. In addition, when multiple devices are simultaneously connected to different ports of the charger, how to accurately identify the charging requirements of each device and provide adapted charging parameters to ensure the safety and efficiency of charging has become an urgent problem to be solved. In the prior art, although some multi-port chargers can achieve simultaneous charging of multiple devices, they are insufficient in intelligent identification of device types and charging requirements, which may lead to abnormal device charging, slow charging speed, or even device damage. Therefore, the present invention proposes a fast charger and a multi-port intelligent recognition method therefor. Summary of the Invention

[0003] The present invention provides a fast charger and a multi-port intelligent recognition method therefor, which are used to solve the problems of slow charging speed, single port function, and inability to accurately and intelligently identify the charging requirements of devices in existing chargers. The fast charger can achieve simultaneous fast charging of multiple devices, and automatically adapt the charging parameters of different devices through an intelligent recognition method to ensure the safety and efficiency of charging.

[0004] The present invention provides a fast charger, comprising: a housing, a power input interface, a plurality of charging output ports, and a control circuit board;

[0005] Wherein, the power input interface is arranged on the surface of one side of the housing and is used for connecting an external power supply;

[0006] The plurality of charging output ports are arranged on the surface of the other side of the housing and are used for connecting the data line ports of different types of electronic devices;

[0007] The control circuit board is arranged inside the housing and comprises a microprocessor and a plurality of charger control working circuits, which are used for performing real-time distribution of the power voltage according to the charging status of the charging devices at each port, and collecting the working status information of the charger in real time and sending it to the APP side.

[0008] Preferably, in a fast charger, the control circuit board comprises:

[0009] A power conversion current circuit, which is used to control the power conversion circuit to convert the input mains power into a DC voltage adapted to the electronic device;

[0010] An intelligent recognition circuit for recognizing the access state of the port by the intelligent recognition circuit;

[0011] A charging management circuit for real-time collecting the charging data of each charging electronic device, analyzing the charging data, determining the charging state of each charging electronic device according to the analysis result, and performing real-time allocation of the power supply voltage based on the charging state;

[0012] A communication circuit for transmitting the working state information of the charger to the mobile phone APP based on a preset communication protocol and receiving the control instruction from the APP and sending it to the microprocessor;

[0013] A microprocessor for processing control instructions and controlling the coordinated operation of the power conversion current circuit, the intelligent recognition circuit, the charging management circuit, and the communication circuit.

[0014] The present invention provides a multi-port intelligent recognition method applied to a fast charger, including the following steps:

[0015] When an electronic device is connected to the charging output port, the intelligent recognition circuit detects the port connection state and determines whether a charging device is connected;

[0016] When it is determined that a charging device is connected, the intelligent recognition circuit sends an identification signal to the charging device, obtains the feedback device information of the electronic device and sends it to the microprocessor for processing, determines the battery state corresponding to each charging device, and determines the optimal charging parameters for each charging device according to the battery state;

[0017] Based on the optimal charging parameters, perform power supply voltage allocation for the charging devices corresponding to each port;

[0018] The charging management circuit monitors the real-time charging data of the device in real time and performs real-time allocation of the power supply voltage according to the real-time charging data.

[0019] Preferably, in a multi-port intelligent recognition method of a fast charger, the intelligent recognition circuit detects the port connection state, including:

[0020] Obtain the docking situation of each contact of the connected charging output port, and determine whether all the contacts in the connected charging output port have corresponding contact docking;

[0021] If not, it is determined that the charging device access fails, and a device non-equipment notice is generated and sent to the mobile phone APP;

[0022] If so, based on the preset contact preset coordinates in the database in the connected charging output port, obtain the contact docking data corresponding to each contact respectively;

[0023] Based on the bottom - contact docking data, determine whether each contact is in positive docking. If all contacts are in positive docking, it is determined that the charging device is successfully connected, and it is determined that there is a charging device connected to the connected charging output port;

[0024] Otherwise, it is determined that the charging device connection fails, and a device - not - equipped notification is generated and sent to the mobile APP.

[0025] Preferably, in a multi - port intelligent recognition method of a fast charger, the intelligent recognition circuit sends an identification signal to the charging device, and after obtaining the feedback device information of the electronic device, it sends it to the microprocessor for processing, including:

[0026] Send an identification signal to the charging device through a preset general communication protocol based on the port type corresponding to the connected charging output port;

[0027] Judge whether the feedback device information is received within a preset waiting time. If the feedback device information is received, then based on the microprocessor, the feedback information is parsed to obtain the battery status data corresponding to the charging device;

[0028] And parse the battery status data to obtain the rechargeable capacity of the charging device. Based on the rechargeable capacity, judge whether the current charging device is in a full - charge state;

[0029] If so, generate a blocking signal and send it to the charging management circuit for charging cut - off.

[0030] Preferably, in a multi - port intelligent recognition method of a fast charger, according to the battery status, determine the optimal charging parameters of each charging device, including:

[0031] When the current charging device is not in a full - charge state, according to the feedback device information of the charging device, judge whether the charging device has a built - in fixed charging mode;

[0032] If there is, obtain the optimal input current and voltage corresponding to the current battery power of the charging device in the built - in fixed charging mode, and generate the optimal charging parameters of the charging device;

[0033] If not, then based on the battery status data, determine the battery health, the existing battery power, and the maximum factory - installed battery capacity of the charging device;

[0034] According to the battery health, the existing battery power, and the maximum factory - installed battery capacity, calculate the actual battery capacity and the actual amount to be charged of the charging device. Based on the actual battery capacity, obtain the corresponding preset battery maintenance charging mode in the pre - stored data of the fast charger;

[0035] Based on the actual battery capacity and the existing battery power, determine the current actual battery power ratio value of the charging device;

[0036] Based on the actual power ratio value, combined with the preset battery maintenance charging mode, determine the matching charging voltage and current corresponding to the charging device, and obtain the optimal charging parameters corresponding to the charging device.

[0037] Preferably, in a multi-port intelligent identification method of a fast charger, based on the optimal charging parameters, perform power voltage distribution on the charging devices of each corresponding port, including:

[0038] Determine all the data volumes of the fast charger. When there is only one currently connected charging output port of the fast charger, generate a voltage conversion signal based on the matching charging voltage corresponding to the currently connected charging output port, and send it to the power conversion current circuit to convert the input mains power into the matching charging voltage;

[0039] When there are more than one currently connected charging output ports of the fast charger, determine the matching charging voltages in the optimal charging parameters corresponding to all the connected charging output ports. Based on the port codes and the matching charging voltages corresponding to each connected charging output port, generate corresponding voltage adjustment signals and send them to the power conversion current circuit;

[0040] Based on the power conversion current circuit, adjust the output voltage corresponding to each connected charging output port to the corresponding matching charging voltage.

[0041] Preferably, in a multi-port intelligent identification method of a fast charger, the charging management circuit monitors the real-time charging data of the device in real time, and performs real-time power voltage distribution according to the real-time charging data, including:

[0042] Obtain the real-time charging data of each connected charging output port in real time. Based on the real-time charging data, respectively determine the actual charging amount of the charging device corresponding to each connected charging output port and the current actual charging rate of the charging device;

[0043] Based on the charging modes corresponding to each charging device, determine the voltage adjustment power nodes corresponding to each charging device, and respectively predict the adjustment time nodes corresponding to the next voltage adjustment power nodes of each charging device according to the actual charging rate;

[0044] Generate a regulation time sequence based on the adjustment time nodes corresponding to each charging device, and respectively judge whether the actual charging rate of each charging device has changed according to the real-time charging data. If it has changed, based on the rate difference between the changed actual charging rate and the original actual charging rate, adjust the corresponding adjustment time nodes of the corresponding charging device, and synchronously update the regulation time sequence.

[0045] Preferably, in a multi-port intelligent recognition method of a fast charger, the power supply voltage is allocated in real time according to the real-time charging data, and it further includes:

[0046] Based on the charging modes corresponding to each charging device, respectively determine the matching charging voltages corresponding to each voltage adjustment power node of different charging devices;

[0047] Based on the correspondence between the voltage adjustment power node and the adjustment time node, and the correspondence between the voltage adjustment power node and the matching charging voltage, determine the time-voltage mapping relationship between the adjustment time node and the matching charging voltage;

[0048] When reaching the adjustment time node corresponding to the regulation time sequence, based on the time-voltage mapping relationship, determine the target adjustment voltage corresponding to the target charging device at the current adjustment time node;

[0049] Based on the port code corresponding to the target connected charging output port of the target charging device and the target adjustment voltage, generate a corresponding real-time voltage adjustment signal and send it to the power conversion current circuit;

[0050] Based on the power conversion current circuit, adjust the output voltage corresponding to the target connected charging output port to the corresponding target adjustment voltage.

[0051] Preferably, in a multi-port intelligent recognition method of a fast charger, according to the actual charging rate, respectively predict the adjustment time nodes corresponding to the next voltage adjustment power nodes of each charging device, including:

[0052] When the charging device has a built-in fixed charging mode, determine whether the battery health of the charging device is 100%;

[0053] If not, obtain the historical real-time charging data of the current charging device, and based on the built-in fixed charging mode of the charging device, divide the historical real-time charging data into multiple data segments;

[0054] Obtain the difference between the charging rate at the time node within each data segment and the charging rate at the start of the stage, and compare the differences corresponding to adjacent time nodes to obtain the adjacent rate difference index;

[0055] Based on the adjacent rate difference index, generate an exponential change curve, extract the characteristics of the exponential change curve, and obtain the curve change characteristics;

[0056] Based on the curve change characteristics, determine the slope corresponding to each curve segment of the exponential change curve, after normalizing the slope, assign positive and negative values according to the slope direction of the curve segment, and sum the assignment results to obtain the rate error coefficient corresponding to the current data segment;

[0057] Obtain the rate error coefficients of the data segments corresponding to the same charging stage of multiple historical charging data, arrange them according to time to obtain a time error sequence, compare the adjacent rate error coefficients within the time error sequence to determine multiple error mutation points;

[0058] Obtain the average time interval between the error mutation points, and compare the rate error coefficient corresponding to the error mutation point with the rate error coefficient corresponding to the previous time node to obtain the coefficient error rate;

[0059] Calculate the average value of the multiple coefficient error rates corresponding to the multiple error mutation points, and obtain the error mutation coefficient based on the average value;

[0060] When the time interval for the target charging device to use the fast charger is less than the average time interval, correct the actual charging rate based on the rate error coefficient to obtain the corrected actual charging rate;

[0061] When the time interval for the target charging device to use the fast charger is greater than or equal to the average time interval, correct the actual charging rate based on the rate error coefficient and the error mutation coefficient to obtain the corrected actual charging rate, and initialize the time interval after the actual charging rate is corrected;

[0062] Based on the corrected actual charging rate, predict the adjustment time nodes corresponding to the next voltage adjustment power nodes of each charging device respectively.

[0063] Compared with the prior art, the present invention has at least the following beneficial effects:

[0064] The beneficial effects of the above technical solution: In the present invention, the power input interface and multiple charging output ports are arranged on different sides of the housing, which greatly improves the convenience of use. Through the multiple charging output ports, multiple smart devices can be charged simultaneously, greatly improving the charging efficiency, meeting the user's need to charge multiple devices at the same time, reducing the trouble of the user carrying multiple chargers. Through the coordinated operation of various control working circuits on the control circuit board, the type of the connected device and the charging protocol can be quickly and accurately identified, providing a decision-making basis for the microprocessor, thereby ensuring the reasonable distribution of power, guaranteeing the high efficiency and safety when multiple devices are charged simultaneously, avoiding abnormal charging or damage of the devices caused by unreasonable power distribution, realizing the simultaneous fast charging of multiple devices, and automatically adapting the charging parameters of different devices and allocating the power voltage in real time according to the charging parameters through the charging management circuit, ensuring the safety and high efficiency of charging, and collecting the working state information of the charger in real time and sending it to the APP side, so that the user can more conveniently monitor and manage the charger, improving the user experience.

[0065] The intelligent recognition circuit can accurately judge the device access and quickly obtain the device feedback information. Based on this, the microprocessor determines the optimal charging parameters, enabling the charger to charge at the power most suitable for the device, allowing the charging device to complete charging in a shorter time, greatly saving the user's time, meeting the people's demand for fast charging of devices in the modern fast-paced life. When the charging device starts charging, it matches the optimal charging parameters by determining the device battery status, avoiding excessive battery loss caused by mismatched charging parameters. When multiple devices are charged simultaneously, it ensures that each device can obtain sufficient and appropriate electric energy while effectively preventing irreversible damage to the battery caused by overcharging, effectively extending the service life of the device battery and reducing the cost for the user to replace the battery. Then, through the charging management circuit, it monitors the charging situation of the charging device in real time and distributes the power voltage in real time, which is conducive to promptly discovering abnormalities during the device charging process, preventing the device from being damaged due to abnormal charging status, and greatly enhancing the reliability of the entire charging process, allowing the user to charge multiple devices simultaneously with confidence.

[0066] Other features and advantages of the present invention will be described in the following specification, and in part, will be obvious from the specification, or can be understood by implementing the present invention. The objectives and other advantages of the present invention can be achieved and obtained through the structure specifically pointed out in this application document.

[0067] The technical solution of the present invention will be further described in detail below through the drawings and embodiments. Description of the Drawings

[0068] The drawings are used to provide a further understanding of the present invention and constitute a part of the specification. They are used together with the embodiments of the present invention to explain the present invention and do not constitute a limitation to the present invention. In the drawings:

[0069] Figure 1 is a schematic structural diagram of a fast charger of the present invention;

[0070] Figure 2 is a flowchart of a multi-port intelligent recognition method for a fast charger of the present invention;

[0071] Figure 3 is a step diagram of the intelligent recognition circuit detecting the port connection status. Detailed Embodiments

[0072] The following describes the preferred embodiments of the present invention with reference to the drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention and are not used to limit the present invention.

[0073] Embodiment 1:

[0074] The present invention provides a fast charger, comprising: a housing, a power input interface, a plurality of charging output ports, and a control circuit board;

[0075] Wherein, the power input interface is arranged on the surface of one side of the housing and is used for connecting an external power supply;

[0076] The plurality of charging output ports are arranged on the surface of the other side of the housing and are used for connecting the data line ports of different types of electronic devices;

[0077] The control circuit board is arranged inside the housing and includes a microprocessor and a variety of charger control working circuits, which are used for real-time distribution of the power voltage according to the charging status of the charging devices at each port, and real-time collection of the working status information of the charger and sending it to the APP side.

[0078] The beneficial effects of the above technical solution: In the present invention, the power input interface and the plurality of charging output ports are arranged on different sides of the housing, which greatly improves the convenience of use. Through the plurality of charging output ports, multiple smart devices can be charged simultaneously, greatly improving the charging efficiency, meeting the user's need to charge multiple devices at the same time, reducing the trouble of the user carrying multiple chargers. Through the coordinated operation of a variety of control working circuits on the control circuit board, the type of the connected device and the charging protocol can be quickly and accurately identified, providing a decision-making basis for the microprocessor, thereby ensuring reasonable distribution of the power, ensuring the high efficiency and safety during simultaneous charging of multiple devices, avoiding abnormal charging or damage of the devices caused by unreasonable power distribution, realizing simultaneous fast charging of multiple devices, and automatically adapting the charging parameters of different devices through the charging management circuit and real-time distribution of the power voltage according to the charging parameters, ensuring the safety and high efficiency of charging, and real-time collection of the working status information of the charger and sending it to the APP side, so that the user can more conveniently monitor and manage the charger, improving the user experience.

[0079] Embodiment 2:

[0080] Based on Embodiment 1, a fast charger, characterized in that the control circuit board includes:

[0081] A power conversion current circuit, which is used to control the power conversion circuit to convert the input commercial power into a DC voltage adapted to the electronic device;

[0082] An intelligent identification circuit, which is used to identify the access status of the port by the intelligent identification circuit;

[0083] A charging management circuit, which is used to real-time collect the charging data of each charging electronic device, analyze the charging data, determine the charging status of each charging electronic device according to the analysis result, and real-time distribute the power voltage based on the charging status;

[0084] A communication circuit, which is used to transmit the working status information of the charger to the mobile phone APP based on a preset communication protocol and receive the control instructions from the APP and send them to the microprocessor;

[0085] A microprocessor, which is used to process the control instructions and control the power conversion current circuit, the intelligent identification circuit, the charging management circuit and the communication circuit to work together.

[0086] Embodiment 3:

[0087] Based on Embodiments 1-2, a multi-port intelligent identification method for a fast charger includes the following steps:

[0088] When an electronic device is connected to the charging output port, the intelligent identification circuit detects the port connection status and determines whether there is a charging device connected;

[0089] When it is determined that there is a charging device connected, the intelligent identification circuit sends an identification signal to the device, obtains the feedback device information of the electronic device and sends it to the microprocessor for processing, determines the battery status corresponding to each charging device, and determines the optimal charging parameters for each charging device according to the battery status;

[0090] Based on the optimal charging parameters, power voltage is allocated to the charging devices corresponding to each port;

[0091] The charging management circuit monitors the real-time charging status of the device in real time and allocates the power voltage in real time according to the real-time charging status.

[0092] The beneficial effects of the above technical solutions: The intelligent identification circuit can accurately judge the connection of the device and quickly obtain the device feedback information. Based on this, the microprocessor determines the optimal charging parameters, enabling the charger to charge at the power most suitable for the device, allowing the charging device to complete charging in a shorter time, greatly saving the user's time, meeting the demand for fast charging of devices in modern fast-paced life. When the charging device starts charging, the optimal charging parameters are matched by determining the battery status of the device, avoiding excessive battery loss caused by mismatched charging parameters, ensuring that each device can obtain sufficient and appropriate electric energy while multiple devices are charging simultaneously, effectively preventing irreversible damage to the battery caused by overcharging, effectively extending the service life of the device battery, reducing the cost for the user to replace the battery. Then, the charging management circuit monitors the charging situation of the charging device in real time and allocates the power voltage in real time, which is beneficial to promptly discover abnormalities during the charging process of the device, prevent damage to the device due to abnormal charging status, and greatly improve the reliability of the entire charging process, allowing the user to charge multiple devices at the same time with confidence.

[0093] Embodiment 4:

[0094] Based on Embodiment 3, the intelligent recognition circuit detects the connection status of the charging output port, as Figure 3 shown, including:

[0095] Obtain the docking situation of each contact of the connected charging output port, and judge whether all contacts in the connected charging output port have corresponding contact docking;

[0096] If not, it is determined that the charging device access fails, and a device non-equipment notice is generated and sent to the mobile APP side;

[0097] If so, based on the preset contact preset coordinates in the connected charging output port in the database, obtain the contact docking data corresponding to each contact respectively;

[0098] Based on the bottom contact docking data, judge whether each contact is in positive docking. If all contacts are in positive docking, it is determined that the charging device access is successful, and it is determined that there is a charging device connected to the connected charging output port;

[0099] Otherwise, it is determined that the charging device access fails, and a device non-equipment notice is generated and sent to the mobile APP side.

[0100] Advantages of the above technical solution: According to the contact connection situation in the connected charging output port, the present invention judges whether the data line port of the charging device is completely matched with the charger output port, which can solve the situation in the prior art that partial contacts can be correctly docked to charge the charging device, avoid the situation of battery damage of the charging device due to port mismatch during charging, effectively improve the safety and reliability of device charging, and effectively extend the service life of the charging device battery.

[0101] Embodiment 5:

[0102] Based on Embodiment 3, the intelligent recognition circuit sends an identification signal to the charging device, and after obtaining the feedback device information of the electronic device, sends it to the microprocessor for processing, including:

[0103] Send an identification signal to the charging device through a preset general communication protocol based on the port type corresponding to the connected charging output port;

[0104] Judge whether the feedback device information is received within the preset waiting time. If the feedback device information is received, based on the microprocessor, analyze the feedback information to obtain the battery status data corresponding to the charging device;

[0105] And analyze the battery status data to obtain the rechargeable capacity of the charging device. Based on the rechargeable capacity, judge whether the current charging device is in a fully charged state;

[0106] If so, generate a blocking signal and send it to the charging management circuit to cut off the charging.

[0107] Beneficial effects of the above technical solution: The present invention sends an identification signal to the charging device through a preset general communication protocol based on the port type corresponding to the connected charging output port; determines whether feedback device information is received within a preset waiting time. If the feedback device information is received, the feedback information is parsed based on a microprocessor to obtain battery status data corresponding to the charging device; and the battery status data is parsed to obtain the rechargeable capacity of the charging device. Based on the rechargeable capacity, it is determined whether the current charging device is in a full state; if so, a blocking signal is generated and sent to the charging management circuit to cut off the charging. Before starting to charge the charging device, the battery capacity is detected and judged, effectively avoiding the situation of battery damage caused by overcharging of the charging device battery.

[0108] Embodiment 6:

[0109] Based on the battery status in Embodiment 4, determine the optimal charging parameters for each charging device, including:

[0110] When the current charging device is not in a full state, judge whether the charging device has a built-in fixed charging mode according to the feedback device information of the charging device;

[0111] If so, obtain the charging device, and in the built-in fixed charging mode, the optimal input current and voltage corresponding to the current battery power, and generate the optimal charging parameters of the charging device;

[0112] If not, based on the battery status data, determine the battery health, existing battery power, and the maximum factory battery capacity of the charging device;

[0113] According to the battery health, existing battery power, and the maximum factory battery capacity, calculate the actual battery capacity and the actual amount to be charged of the charging device. Based on the actual battery capacity, obtain the corresponding preset battery maintenance charging mode in the pre-stored data of the fast charger;

[0114] Based on the actual battery capacity and the existing battery power, determine the current actual battery power ratio value of the charging device;

[0115] According to the actual battery power ratio value, combined with the preset battery maintenance charging mode, determine the matching charging voltage and current corresponding to the charging device, and obtain the optimal charging parameters of the charging device.

[0116] In this embodiment, the built-in fixed charging mode refers to the charging mode set in the charging device system. The preset battery maintenance charging mode is a charging mode built into the fast charger of the present invention. In order to protect the battery of the electronic device, the charging voltage is different at different stages of the battery power of the electronic device, resulting in different charging speeds, achieving the purpose of protecting the battery of the electronic device during the charging process.

[0117] Advantages of the above technical solution: Before charging the electronic device, the present invention selects the charging mode of the electronic device according to the feedback information of the electronic device, and determines the optimal charging parameters (including charging voltage and current) corresponding to the electronic device currently according to the actual power of the electronic device and its corresponding charging mode. Especially when the charging device does not have a fixed charging mode, it will calculate the battery capacity according to the battery health of the charging device to determine the actual chargeable capacity of the charging device battery, and then determine the optimal charging parameters corresponding to the electronic device currently according to the actual chargeable capacity, its corresponding charging mode and the existing power, which can protect the battery to the greatest extent during the charging process and ensure the accuracy of the adjustment of the charging concept parameters during the charging process.

[0118] Embodiment 7:

[0119] Based on the optimal charging parameters on the basis of Embodiment 3, power voltage distribution is performed on the charging devices of each corresponding port, including:

[0120] Determine all the data of the fast charger. When there is only one currently connected charging output port of the fast charger, generate a voltage conversion signal based on the matching charging voltage corresponding to the currently connected charging output port, and send it to the power conversion current circuit to convert the input mains power into the matching charging voltage;

[0121] When there is more than one currently connected charging output port of the fast charger, determine the matching charging voltages in the optimal charging parameters corresponding to all the connected charging output ports, and generate corresponding voltage adjustment signals based on the port codes and matching charging voltages corresponding to each connected charging output port, and send them to the power conversion current circuit;

[0122] Based on the power conversion current circuit, adjust the output voltage corresponding to each connected charging output port to the corresponding matching charging voltage.

[0123] Advantages of the above technical solution: When only one charging output port is connected, the charger can generate a voltage conversion signal according to the matching charging voltage corresponding to the port, and then accurately convert the input mains power into the voltage suitable for the device. Different electronic devices have different requirements for charging voltage. For example, devices such as mobile phones, tablets, and smart watches require different charging voltages. Accurate adaptation can ensure that the device charges in the optimal state and avoid problems such as slow charging and device damage due to voltage mismatch. When multiple charging output ports are connected simultaneously, the charger can determine the matching charging voltage in the optimal charging parameters corresponding to each port, and generate corresponding voltage adjustment signals according to the port coding, so that the charger can intelligently allocate power resources according to the needs of different devices, ensure that each device can obtain a suitable charging voltage, and achieve efficient simultaneous charging of multiple devices. While meeting the user's need to charge multiple devices simultaneously, the practicality and convenience of the charger are improved.

[0124] Embodiment 8:

[0125] Based on Embodiment 3, the charging management circuit monitors the real-time charging data of the device in real time, and performs real-time allocation of the power supply voltage according to the real-time charging data, including:

[0126] Obtain the real-time charging data of each connected charging output port in real time. Based on the real-time charging data, respectively determine the actual charging amount of the charging device corresponding to each connected charging output port and the current actual charging rate of the charging device;

[0127] Based on the charging mode corresponding to each charging device, determine the voltage adjustment power node corresponding to each charging device, and respectively predict the adjustment time node corresponding to the next voltage adjustment power node of each charging device according to the actual charging rate;

[0128] Generate a regulation time sequence based on the adjustment time node corresponding to each charging device, and respectively judge whether the actual charging rate of each charging device has changed according to the real-time charging data. If it has changed, based on the rate difference between the changed actual charging rate and the original actual charging rate, adjust the corresponding adjustment time node of the corresponding charging device, and synchronously update the regulation time sequence.

[0129] Advantages of the above technical solution: Based on real-time charging data, the present invention respectively determines the actual charging amount of the charging device corresponding to each connected charging output port and the current actual charging rate of the charging device, and based on the charging mode corresponding to each charging device, determines the voltage adjustment power nodes corresponding to each charging device. According to the actual charging rate, it respectively predicts the adjustment time nodes corresponding to the next voltage adjustment power nodes of each charging device, enabling the charging management circuit to plan the voltage adjustment strategy in advance and adjust the voltage timely during the device charging process, avoiding affecting the charging efficiency due to too high or too low voltage. For example, when the battery power is close to full, the charging voltage is appropriately reduced and the trickle charging method is adopted, which can not only ensure that the battery is fully charged but also avoid damage to the battery caused by overcharging. And the charging management circuit continuously judges whether the actual charging rate of each charging device changes, and adjusts and updates the regulation time sequence according to the rate difference, realizing real-time monitoring and dynamic adjustment of the charging process of the charging device, being able to timely detect abnormal situations during the charging process, ensuring the accuracy of the adjustment of the charging concept parameters, and moreover, by timely adjusting the voltage distribution and charging strategy, it can effectively prevent overcharging and over-discharging of the battery, avoid safety problems caused by abnormal charging situations such as overheating, short circuit, and battery bulging, ensure the safety of the charging process, ensure that the battery is charged and used within a safe power range, and extend the service life of the battery. The present invention realizes the intelligent management of the charging process of electronic devices. Users do not need to manually intervene in the charging process. The charging management circuit will automatically perform voltage distribution and adjustment according to the actual situation of the device, providing users with a more convenient and efficient charging experience. Especially when charging multiple different types of devices simultaneously, it can meet the charging needs of different devices, improve user satisfaction, extend the service life of the devices, reduce the damage to the battery and devices caused by charging problems, enable users to use the devices for a longer time, reduce the frequency of device replacement, and save costs.

[0130] Embodiment 9:

[0131] On the basis of Embodiment 8, for the real-time distribution of the power supply voltage according to real-time charging data, it further includes:

[0132] Based on the charging mode corresponding to each charging device, respectively determine the matching charging voltage corresponding to each voltage adjustment power node of different charging devices;

[0133] Based on the corresponding relationship between the voltage adjustment power node and the adjustment time node, and the corresponding relationship between the voltage adjustment power node and the matching charging voltage, determine the time-voltage mapping relationship between the adjustment time node and the matching charging voltage;

[0134] When reaching the adjustment time node corresponding to the regulation time sequence, based on the time-voltage mapping relationship, determine the target adjustment voltage corresponding to the target charging device at the current adjustment time node;

[0135] Based on the port code corresponding to the target connected charging output port of the target charging device and the target adjustment voltage, generate a corresponding real-time voltage adjustment signal and send it to the power conversion current circuit;

[0136] Based on the power conversion current circuit, adjust the output voltage corresponding to the target connected charging output port to the corresponding target adjustment voltage.

[0137] Beneficial effects of the above technical solution: By establishing the time-voltage mapping relationship between the adjustment time node and the matching charging voltage, the present invention is beneficial for the charging management system to be able to plan in advance and precisely control the charging process, improve the adjustment processing speed of the charging concept parameters. When reaching the adjustment time node corresponding to the regulation time sequence, determine the target adjustment voltage according to this mapping relationship, realizing the intelligent and automatic adjustment of the charging voltage, improving the controllability and stability of the charging process, and enabling the battery to work in a healthier state while slowing down the battery aging speed, thereby reducing the frequency and cost of users replacing the battery. When multiple different types of devices are connected for charging simultaneously, through the time-voltage mapping relationship, according to the charging mode and real-time charging data of each device, the compatibility of the charger for simultaneous charging of multiple devices is enhanced, meeting the diverse charging needs of users, and improving the practicality and user experience of the charger.

[0138] Embodiment 10:

[0139] Based on Embodiment 8, according to the actual charging rate, respectively predict the adjustment time nodes corresponding to the next voltage adjustment power nodes of each charging device, including:

[0140] When the charging device has a built-in fixed charging mode, determine whether the battery health of the charging device is 100%;

[0141] If not, obtain the historical real-time charging data of the current charging device, and based on the built-in fixed charging mode of the charging device, divide the historical real-time charging data into multiple data segments;

[0142] Obtain the difference between the charging rate at the time node within each data segment and the charging rate at the starting point of the stage, and compare the differences corresponding to adjacent time nodes to obtain the adjacent rate difference index;

[0143] Based on the adjacent rate difference index, generate an exponential change curve, perform feature extraction on the exponential change curve, and obtain the curve change characteristics;

[0144] Based on the curve change characteristics, determine the slope corresponding to each curve segment of the exponential change curve. After normalizing the slope, assign positive and negative values according to the slope direction of the curve segment, and sum the assignment results to obtain the rate error coefficient corresponding to the current data segment;

[0145] Obtain the rate error coefficients of the data segments in the same charging stage corresponding to multiple historical charging data, and arrange them according to time to obtain a time error sequence. Compare the adjacent rate error coefficients in the time error sequence to determine multiple error mutation points;

[0146] Obtain the average time interval between error mutation points, and compare the rate error coefficient corresponding to the error mutation point with the rate error coefficient corresponding to the previous time node to obtain the coefficient error rate;

[0147] Calculate the average value of the multiple coefficient error rates corresponding to multiple error mutation points, and obtain the error mutation coefficient based on the average value;

[0148] When the time interval for the target charging device to use the fast charger is less than the average time interval, correct the actual charging rate based on the rate error coefficient to obtain the corrected actual charging rate;

[0149] When the time interval for the target charging device to use the fast charger is greater than or equal to the average time interval, correct the actual charging rate based on the rate error coefficient and the error mutation coefficient to obtain the corrected actual charging rate, and initialize the time interval after the actual charging rate is corrected;

[0150] Based on the corrected actual charging rate, predict the adjustment time nodes corresponding to the next voltage adjustment power nodes of each charging device respectively.

[0151] In this embodiment, when normalizing the slope, the positive and negative are not considered, and all absolute values are taken.

[0152] In this embodiment, an error mutation point refers to comparing the adjacent rate error coefficients in the time error sequence to obtain the coefficient difference between two adjacent rate error coefficients, and determining whether the error of the coefficient difference corresponding to any rate error coefficient is greater than a preset value. If so, the point corresponding to the rate error coefficient is determined as an error mutation point.

[0153] Beneficial effects of the above technical solution: When the charging device has a built-in fixed charging mode, the present invention first determines whether the battery health is 100%. The battery health affects the charging rate. When the health decreases, the charging process will change. Different analysis methods can be adopted for batteries in different health states, so as to more accurately predict the adjustment time node. When the battery health is not 100%, the historical real-time charging data of the current charging device is obtained. Based on the built-in fixed charging mode of the charging device, the historical real-time charging data is divided into multiple data segments; the difference between the charging rate at the time node in each data segment and the charging rate at the start of the stage is obtained, and the differences corresponding to adjacent time nodes are compared to obtain the adjacent rate difference index; based on the adjacent rate difference index, an exponential change curve is generated, feature extraction is performed on the exponential change curve to obtain curve change features; based on the curve change features, the slope corresponding to each curve segment of the exponential change curve is determined, after normalizing the slope, positive and negative values are assigned according to the slope direction of the curve segment, and the assignment results are summed to obtain the rate error coefficient corresponding to the current data segment. The charging rate error of the store location device in the current charging stage is distributed throughout the current charging stage, overcoming the situation that it is difficult to predict the power growth rate during the battery charging process due to the change in health. Then, the rate error coefficients of the data segments in the same charging stage corresponding to multiple historical charging data are obtained and arranged according to time to obtain a time error sequence. The adjacent rate error coefficients in the time error sequence are compared to determine multiple error mutation points; the average time interval between the error mutation points is obtained, and the rate error coefficient corresponding to the error mutation point is compared with the rate error coefficient corresponding to the previous time node to obtain the coefficient error rate; the average value of the multiple coefficient error rates corresponding to the multiple error mutation points is calculated, and based on the average value, an error mutation coefficient is obtained, realizing the analysis of the time law of the decrease in battery health, selecting the product coefficient according to the time interval, and correcting the actual charging rate according to the selected error coefficient, which can effectively improve the accuracy of predicting the adjustment time node of the charging device with a built-in fixed charging mode.

[0154] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalent technologies, the present invention is also intended to include these changes and modifications.

Claims

1. A fast charger, characterized in that, Including: A housing, a power input interface, multiple charging output ports, and a control circuit board; Among them, the power input interface is arranged on the surface of one side of the housing and is used to connect an external power supply; The multiple charging output ports are arranged on the surface of the other side of the housing and are used to connect the data line ports of different types of electronic devices; The control circuit board is arranged inside the housing and includes a microprocessor and a variety of charger control working circuits, which are used to allocate the power voltage in real time according to the charging status of the charging devices at each port, and collect the working status information of the charger in real time and send it to the APP side.

2. The fast charger according to claim 1, wherein, The control circuit board includes: A power conversion current circuit, which is used to control the power conversion circuit to convert the input mains power into a DC voltage adapted to the electronic device; An intelligent identification circuit, which is used to identify the access status of the port by the intelligent identification circuit; A charging management circuit, which is used to collect the charging data of each charging electronic device in real time, analyze the charging data, determine the charging status of each charging electronic device according to the analysis result, and allocate the power voltage in real time based on the charging status; A communication circuit, which is used to transmit the working status information of the charger to the mobile phone APP side based on a preset communication protocol, and receive the control instruction from the APP side and send it to the microprocessor; A microprocessor, which is used to process the control instruction and control the power conversion current circuit, the intelligent identification circuit, the charging management circuit, and the communication circuit to work together.

3. A multi-port intelligent recognition method applied to the fast charger according to any one of claims 1-2, characterized in that, Including the following steps: When an electronic device is connected to the charging output port, the intelligent identification circuit detects the port connection status and judges whether there is a charging device connected; When it is determined that there is a charging device connected, the intelligent identification circuit sends an identification signal to the charging device, obtains the feedback device information of the electronic device and then sends it to the microprocessor for processing, determines the battery status corresponding to each charging device, and determines the optimal charging parameters for each charging device according to the battery status; Based on the optimal charging parameters, allocate the power voltage to the charging devices at each corresponding port; The charging management circuit monitors the real-time charging data of the device in real time and allocates the power voltage in real time according to the real-time charging data.

4. The multi-port intelligent recognition method of a fast charger according to claim 3, wherein The intelligent identification circuit detects the port connection status, including: Obtain the docking situation of each contact of the connected charging output port, and judge whether all the contacts in the connected charging output port have corresponding contact docking; If not, it is determined that the charging device access fails, and a device non-equipment notice is generated and sent to the mobile phone APP side; If so, based on the preset contact preset coordinates in the database in the connected charging output port, obtain the contact docking data corresponding to each contact respectively; Based on the bottom contact docking data, judge whether each contact is in positive docking. If each contact is in positive docking, it is determined that the charging device access is successful, and it is determined that there is a charging device connected to the connected charging output port; Otherwise, it is determined that the charging device access fails, and a device non-equipment notice is generated and sent to the mobile phone APP side.

5. The multi-port intelligent recognition method of a fast charger according to claim 3, characterized in that, The intelligent identification circuit sends an identification signal to the charging device, obtains the feedback device information of the electronic device and then sends it to the microprocessor for processing, including: Send an identification signal to the charging device through a preset general communication protocol based on the port type corresponding to the connected charging output port; Determine whether feedback device information is received within a preset waiting time. If the feedback device information is received, parse the feedback information based on the microprocessor to obtain the battery status data corresponding to the charging device; And parse the battery status data, obtain the rechargeable capacity of the charging device, and based on the rechargeable capacity, determine whether the current charging device is fully charged; If so, generate a blocking signal and send it to the charging management circuit to cut off the charging.

6. A multi-port intelligent recognition method for a fast charger according to claim 4, characterized in that, Determine the optimal charging parameters for each charging device according to the battery status, including: When the current charging device is not fully charged, judge whether the charging device has a built-in fixed charging mode according to the feedback device information of the charging device; If so, obtain the charging device, and generate the optimal charging parameters of the charging device based on the optimal input current and voltage corresponding to the current battery power in the built-in fixed charging mode; If not, determine the battery health, existing power, and maximum factory battery capacity of the charging device based on the battery status data; Calculate the actual battery capacity and actual charge to be charged of the charging device according to the battery health, existing power, and maximum factory battery capacity. Based on the actual battery capacity, obtain the corresponding preset battery maintenance charging mode in the fast charger's pre-stored data; Based on the actual battery capacity and existing power, determine the current actual power ratio value of the charging device; According to the actual power ratio value, combine the preset battery maintenance charging mode to determine the matching charging voltage and current corresponding to the charging device, and obtain the optimal charging parameters corresponding to the charging device.

7. A multi-port intelligent recognition method for a fast charger according to claim 3, characterized in that, Based on the optimal charging parameters, perform power voltage distribution on the charging devices corresponding to each port, including: Determine all the data volumes of the fast charger. When there is only one currently connected charging output port of the fast charger, generate a voltage conversion signal based on the matching charging voltage corresponding to the currently connected charging output port, and send it to the power conversion current circuit to convert the input mains power into the matching charging voltage; When there are more than one currently connected charging output ports of the fast charger, determine the matching charging voltages in the optimal charging parameters corresponding to all the connected charging output ports, and generate corresponding voltage adjustment signals based on the port codes and matching charging voltages corresponding to each connected charging output port, and send them to the power conversion current circuit; Based on the power conversion current circuit, adjust the output voltage corresponding to each connected charging output port to the corresponding matching charging voltage.

8. The multi-port intelligent recognition method of a fast charger according to claim 3, characterized in that, The charging management circuit monitors the real-time charging data of the device in real time and performs real-time power voltage distribution according to the real-time charging data, including: Obtain the real-time charging data of each connected charging output port in real time, and based on the real-time charging data, respectively determine the actual charging amount of the charging device corresponding to each connected charging output port and the current actual charging rate of the charging device; Based on the charging modes corresponding to each charging device, determine the voltage regulation power nodes corresponding to each charging device, and predict the regulation time nodes corresponding to the next voltage regulation power nodes of each charging device respectively according to the actual charging rate; Generate a regulation time series based on the regulation time nodes corresponding to each charging device, and respectively determine whether the actual charging rate of each charging device has changed according to the real-time charging data. If it has changed, adjust the regulation time nodes corresponding to the corresponding charging device based on the rate difference between the changed actual charging rate and the original actual charging rate, and synchronously update the regulation time series.

9. The multi-port intelligent recognition method of a fast charger according to claim 8, characterized in that Perform real-time allocation of the power supply voltage according to the real-time charging data, and further include: Based on the charging modes corresponding to each charging device, respectively determine the matching charging voltages corresponding to the voltage regulation power nodes of different charging devices; Based on the corresponding relationship between the voltage regulation power nodes and the regulation time nodes, and the corresponding relationship between the voltage regulation power nodes and the matching charging voltages, determine the time-voltage mapping relationship between the regulation time nodes and the matching charging voltages; When reaching the regulation time node corresponding to the regulation time series, determine the target regulation voltage corresponding to the target charging device at the current regulation time node based on the time-voltage mapping relationship; Generate a corresponding real-time voltage regulation signal based on the port code corresponding to the target connected charging output port of the target charging device and the target regulation voltage, and send it to the power conversion current circuit; Based on the power conversion current circuit, adjust the output voltage corresponding to the target connected charging output port to the corresponding target regulation voltage.

10. A multi-port intelligent recognition method for a fast charger according to claim 8, characterized in that, Predict the regulation time nodes corresponding to the next voltage regulation power nodes of each charging device respectively according to the actual charging rate, including: When the charging device has a built-in fixed charging mode, determine whether the battery health of the charging device is 100%; If not, obtain the historical real-time charging data of the current charging device, and divide the historical real-time charging data into multiple data segments based on the built-in fixed charging mode of the charging device; Obtain the difference between the charging rate at the time node within each data segment and the charging rate at the starting point of the segment, and compare the differences corresponding to adjacent time nodes to obtain the adjacent rate difference index; Generate an exponential change curve based on the adjacent rate difference index, perform feature extraction on the exponential change curve, and obtain the curve change characteristics; Based on the curve change characteristics, determine the slope corresponding to each curve segment of the exponential change curve, perform normalization processing on the slope, assign positive and negative values according to the slope direction of the curve segment, and sum the assignment results to obtain the rate error coefficient corresponding to the current data segment; Obtain the rate error coefficients of the data segments in the same charging stage corresponding to multiple historical charging data, arrange them in time order to obtain a time error sequence, compare the adjacent rate error coefficients in the time error sequence, and determine multiple error mutation points; Obtain the average time interval between the error mutation points, and compare the rate error coefficient corresponding to the error mutation point with the rate error coefficient corresponding to the previous time node to obtain the coefficient error rate; Calculate the average value of multiple coefficient error rates corresponding to multiple error mutation points, and obtain an error mutation coefficient based on the average value; When the time interval for the target charging device to use the fast charger is less than the average time interval, correct the actual charging rate based on the rate error coefficient to obtain a corrected actual charging rate; When the time interval for the target charging device to use the fast charger is greater than or equal to the average time interval, correct the actual charging rate based on the rate error coefficient and the error mutation coefficient to obtain a corrected actual charging rate, and initialize the time interval after the actual charging rate is corrected; Based on the corrected actual charging rate, predict the regulation time nodes corresponding to the next voltage regulation power nodes of each charging device respectively.

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