A method and system for adaptive power allocation based on multi-terminal wireless charging

Abstract

The present application provides a method and system for adaptive power allocation based on multi-terminal wireless charging. The method includes: obtaining characteristic data corresponding to a plurality of preset terminals to be charged, processing them separately to obtain charging demand indexes, obtaining charging characteristic data of a preset wireless charging base station, and processing them in combination with the charging demand indexes corresponding to the plurality of terminals to be charged, obtaining charging power allocation data of the plurality of terminals to be charged, real-time monitoring of the plurality of terminals to be charged, and dynamically adjusting power allocation according to the change in the number of terminals to be charged, real-time monitoring of the charging status data corresponding to the plurality of terminals to be charged, processing to obtain charging status evaluation indexes, and adjusting the corresponding charging power allocation data accordingly, real-time monitoring of the wireless charging base station and collecting real-time output characteristic data, processing them in combination with standard output characteristic data, obtaining the base station output abnormality index, and making corresponding adjustments accordingly, thereby realizing the technology of adaptive power allocation based on multi-terminal wireless charging.

Description

Technical Field

[0001] The present application relates to the technical field of multi-terminal wireless charging, and more specifically, to a method and system for adaptively adjusting power allocation based on multi-terminal wireless charging. Background Art

[0002] With the continuous development of electronic devices, more and more devices need to be charged. Wireless charging technology has attracted widespread attention due to its convenience. However, when multiple terminals are wirelessly charged at the same time, how to reasonably allocate charging power to meet the charging needs of different devices and improve charging efficiency has become an urgent problem to be solved.

[0003] Current wireless charging systems often use a fixed power distribution method when charging multiple terminals, and are unable to dynamically adjust according to the actual needs of the devices, resulting in low charging efficiency and slow charging speeds for some devices, affecting user experience.

[0004] In view of the above problems, effective technical solutions are urgently needed. Summary of the invention

[0005] The purpose of the present application is to provide a method and system for adaptive power allocation based on multi-terminal wireless charging, which can obtain the corresponding charging demand index through processing, and combine the charging characteristic data of the wireless charging base station to obtain the charging power allocation data corresponding to each of the multiple terminals to be charged, and dynamically adjust the power allocation according to the change in the number of terminals to be charged or the charging status data. In addition, the charging system is adjusted accordingly according to the abnormal situation of the base station output, so as to realize the technology of adaptive power allocation based on multi-terminal wireless charging.

[0006] The present application also provides a method for adaptively adjusting power allocation based on multi-terminal wireless charging, comprising the following steps:

[0007] Acquire characteristic data corresponding to a plurality of preset charging terminals, and process them respectively to obtain corresponding charging demand indexes;

[0008] Acquire charging characteristic data of a preset wireless charging base station, and process the data in combination with charging demand indexes corresponding to the plurality of terminals to be charged, to obtain charging power allocation data corresponding to each of the plurality of terminals to be charged;

[0009] Monitor the multiple terminals to be charged in real time, and dynamically adjust power allocation according to changes in the number of terminals to be charged;

[0010] Monitor the charging status data corresponding to the plurality of terminals to be charged in real time, process to obtain a charging status evaluation index, and adjust the corresponding charging power allocation data accordingly;

[0011] The wireless charging base station is monitored in real time and real-time output characteristic data is collected, which is processed in combination with standard output characteristic data to obtain a base station output abnormality index, and corresponding adjustments are made according to the base station output abnormality index.

[0012] Optionally, in the power adaptive allocation method based on multi-terminal wireless charging described in the present application, the acquiring characteristic data corresponding to a preset plurality of terminals to be charged and processing them respectively to obtain corresponding charging demand indexes includes:

[0013] Acquire characteristic data corresponding to a plurality of preset terminals to be charged, including charging demand data, location data, and charging efficiency data;

[0014] The charging demand data includes battery power percentage data, battery capacity data and battery health data;

[0015] The charging efficiency data includes battery internal resistance data, charging power data and charging time data;

[0016] The charging demand indexes corresponding to the plurality of terminals to be charged are obtained by processing the charging demand data, the location data and the charging efficiency data.

[0017] Optionally, in the power adaptive allocation method based on multi-terminal wireless charging described in the present application, the charging characteristic data of the preset wireless charging base station is acquired, and the charging demand indexes corresponding to the multiple terminals to be charged are processed to obtain the charging power allocation data corresponding to each of the multiple terminals to be charged, including:

[0018] Obtain charging characteristic data of a preset wireless charging base station, including total output power data and energy conversion efficiency data;

[0019] The total output power data and the energy conversion efficiency data are processed in combination with the charging demand indexes corresponding to the multiple terminals to be charged to obtain the charging power allocation data corresponding to each of the multiple terminals to be charged.

[0020] Optionally, in the power adaptive allocation method based on multi-terminal wireless charging described in the present application, the real-time monitoring of the multiple terminals to be charged and the dynamic adjustment of power allocation according to the change in the number of terminals to be charged include:

[0021] monitoring the plurality of terminals to be charged in real time, and determining whether the number of the terminals to be charged changes;

[0022] If the number of the terminals to be charged changes, the charging demand index corresponding to each terminal to be charged is re-acquired, and corresponding processing is performed to obtain the corresponding power allocation.

[0023] Optionally, in the power adaptive allocation method based on multi-terminal wireless charging described in the present application, the real-time monitoring of the charging status data corresponding to the multiple terminals to be charged, processing to obtain the charging status evaluation index, and adjusting the corresponding charging power allocation data accordingly include:

[0024] Real-time monitoring of charging status data corresponding to the plurality of terminals to be charged, including real-time battery power change rate data and real-time power percentage data;

[0025] Obtain standard battery capacity change rate data and target capacity percentage data corresponding to multiple terminals to be charged;

[0026] According to the standard battery power change rate data and the target power percentage data, the real-time battery power change rate data and the real-time power percentage data are processed to obtain a corresponding charging state evaluation index;

[0027] Comparing the charging state evaluation index with a preset charging state evaluation threshold value to obtain a comparison result;

[0028] If the comparison result is not within the preset threshold range, the corresponding charging power allocation data is adjusted accordingly.

[0029] Optionally, in the power adaptive allocation method based on multi-terminal wireless charging described in the present application, the real-time monitoring of the wireless charging base station and the collection of real-time output characteristic data are processed in combination with the standard output characteristic data to obtain the base station output abnormality index, and corresponding adjustments are made according to the base station output abnormality index, including:

[0030] Real-time monitoring of the wireless charging base station and collection of real-time output characteristic data, including real-time voltage data, real-time current data, and real-time temperature data;

[0031] Obtaining standard output characteristic data of the wireless charging base station, including maximum voltage data, maximum current data, and maximum temperature data;

[0032] According to the real-time voltage data, real-time current data and real-time temperature data, combined with the highest voltage data, the highest current data and the highest temperature data, a base station output abnormality index is obtained;

[0033] Comparing the base station output abnormality index with a preset base station output abnormality threshold to obtain a comparison result;

[0034] If the comparison result is greater than a preset threshold, the power supply of the wireless charging base station is automatically cut off.

[0035] In a second aspect, the present application provides a power adaptive allocation system based on multi-terminal wireless charging, the system comprising: a memory and a processor, the memory comprising a program of a power adaptive allocation method based on multi-terminal wireless charging, the program of the power adaptive allocation method based on multi-terminal wireless charging being executed by the processor to implement the following steps:

[0036] Acquire characteristic data corresponding to a plurality of preset charging terminals, and process them respectively to obtain corresponding charging demand indexes;

[0037] Acquire charging characteristic data of a preset wireless charging base station, and process the data in combination with charging demand indexes corresponding to the plurality of terminals to be charged, to obtain charging power allocation data corresponding to each of the plurality of terminals to be charged;

[0038] Monitor the multiple terminals to be charged in real time, and dynamically adjust power allocation according to changes in the number of terminals to be charged;

[0039] Monitor the charging status data corresponding to the plurality of terminals to be charged in real time, process to obtain a charging status evaluation index, and adjust the corresponding charging power allocation data accordingly;

[0040] The wireless charging base station is monitored in real time and real-time output characteristic data is collected, which is processed in combination with standard output characteristic data to obtain a base station output abnormality index, and corresponding adjustments are made according to the base station output abnormality index.

[0041] Optionally, in the power adaptive allocation system based on multi-terminal wireless charging described in the present application, the acquiring characteristic data corresponding to a preset plurality of terminals to be charged and processing them respectively to obtain corresponding charging demand indexes includes:

[0042] Acquire characteristic data corresponding to a plurality of preset terminals to be charged, including charging demand data, location data, and charging efficiency data;

[0043] The charging demand data includes battery power percentage data, battery capacity data and battery health data;

[0044] The charging efficiency data includes battery internal resistance data, charging power data and charging time data;

[0045] The charging demand indexes corresponding to the plurality of terminals to be charged are obtained by processing the charging demand data, the location data and the charging efficiency data.

[0046] Optionally, in the power adaptive allocation system based on multi-terminal wireless charging described in the present application, the charging characteristic data of the preset wireless charging base station is acquired, and the charging demand indexes corresponding to the multiple terminals to be charged are processed to obtain the charging power allocation data corresponding to each of the multiple terminals to be charged, including:

[0047] Obtain charging characteristic data of a preset wireless charging base station, including total output power data and energy conversion efficiency data;

[0048] The total output power data and the energy conversion efficiency data are processed in combination with the charging demand indexes corresponding to the multiple terminals to be charged to obtain the charging power allocation data corresponding to each of the multiple terminals to be charged.

[0049] Optionally, in the power adaptive allocation system based on multi-terminal wireless charging described in the present application, the real-time monitoring of the multiple terminals to be charged and the dynamic adjustment of power allocation according to the change in the number of terminals to be charged include:

[0050] monitoring the plurality of terminals to be charged in real time, and determining whether the number of the terminals to be charged changes;

[0051] If the number of the terminals to be charged changes, the charging demand index corresponding to each terminal to be charged is re-acquired, and corresponding processing is performed to obtain the corresponding power allocation.

[0052] As can be seen from the above, the power adaptive allocation method and system based on multi-terminal wireless charging provided by the present application obtains characteristic data corresponding to a plurality of preset terminals to be charged, processes them separately to obtain corresponding charging demand indexes, obtains charging characteristic data of a preset wireless charging base station, and processes them in combination with the charging demand indexes corresponding to the plurality of terminals to be charged, obtains charging power allocation data corresponding to each of the plurality of terminals to be charged, monitors the plurality of terminals to be charged in real time, and dynamically adjusts power allocation according to changes in the number of terminals to be charged, monitors the charging status data corresponding to the plurality of terminals to be charged in real time, processes to obtain charging status evaluation indexes, and adjusts the corresponding charging power allocation data accordingly, monitors the wireless charging base station in real time and collects real-time output characteristic data, processes them in combination with standard output characteristic data, obtains base station output abnormality indexes, and makes corresponding adjustments according to the base station output abnormality indexes, thereby realizing the technology of power adaptive allocation based on multi-terminal wireless charging.

[0053] Other features and advantages of the present application will be described in the following description, and partly become apparent from the description, or understood by practicing the embodiments of the present application. The purpose and other advantages of the present application can be realized and obtained by the structures specifically pointed out in the written description and the drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments of the present application will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0055] Figure 1 A flowchart of a method for adaptively adjusting power based on multi-terminal wireless charging provided in an embodiment of the present application;

[0056] Figure 2 A flowchart of obtaining a corresponding charging demand index for a method for adaptively adjusting power based on multi-terminal wireless charging provided in an embodiment of the present application;

[0057] Figure 3 A flowchart of obtaining corresponding charging power allocation data for a power adaptive allocation method based on multi-terminal wireless charging provided in an embodiment of the present application;

[0058] Figure 4 A flow chart of a method for adaptively adjusting power allocation based on multi-terminal wireless charging provided in an embodiment of the present application for dynamically adjusting power allocation according to changes in the number of terminals to be charged. DETAILED DESCRIPTION

[0059] The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments. The components of the embodiments of the present application described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the application claimed for protection, but merely represents the selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without making creative work belong to the scope of protection of the present application.

[0060] It should be noted that similar reference numerals and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings. At the same time, in the description of this application, the terms "first", "second", etc. are only used to distinguish the description and cannot be understood as indicating or implying relative importance.

[0061] Please refer to Figure 1 , Figure 1The flowchart of the power adaptive allocation method based on multi-terminal wireless charging in some embodiments of the present application. The power adaptive allocation method based on multi-terminal wireless charging is used in terminal devices, such as computers, mobile phone terminals, etc. The power adaptive allocation method based on multi-terminal wireless charging includes the following steps:

[0062] S11, obtaining characteristic data corresponding to a plurality of preset charging terminals, and processing them respectively to obtain corresponding charging demand indexes;

[0063] S12, acquiring charging characteristic data of a preset wireless charging base station, and processing the data in combination with charging demand indexes corresponding to the plurality of terminals to be charged, to obtain charging power allocation data corresponding to each of the plurality of terminals to be charged;

[0064] S13, monitoring the plurality of terminals to be charged in real time, and dynamically adjusting power allocation according to changes in the number of terminals to be charged;

[0065] S14, real-time monitoring of the charging status data corresponding to the plurality of terminals to be charged, processing to obtain a charging status evaluation index, and adjusting the corresponding charging power allocation data accordingly;

[0066] S15, real-time monitoring of the wireless charging base station and collection of real-time output characteristic data, processing in combination with standard output characteristic data to obtain a base station output abnormality index, and making corresponding adjustments according to the base station output abnormality index.

[0067] It should be noted that in order to automatically adjust the wireless charging power according to the charging needs and charging status of different terminals, realize efficient and intelligent multi-terminal wireless charging, and promptly handle abnormal situations, in this embodiment, first, by obtaining the characteristic data corresponding to the preset multiple terminals to be charged, respectively processing to obtain the corresponding charging demand index, obtaining the charging characteristic data of the preset wireless charging base station, and combining the charging demand indexes corresponding to the multiple terminals to be charged for processing, obtaining the charging power allocation data corresponding to the multiple terminals to be charged, real-time monitoring of the multiple terminals to be charged, and dynamically adjusting the power allocation according to the changes in the number of terminals to be charged, real-time monitoring of the charging status data corresponding to the multiple terminals to be charged, processing to obtain the charging status evaluation index, and adjusting the corresponding charging power allocation data accordingly, real-time monitoring of the wireless charging base station and collecting real-time output characteristic data, combining the standard output characteristic data for processing, obtaining the base station output abnormality index, and making corresponding adjustments according to the base station output abnormality index, thereby realizing the technology of power adaptive allocation based on multi-terminal wireless charging.

[0068] Please refer to Figure 2 , Figure 2The present invention is a flowchart of obtaining a corresponding charging demand index of a method for adaptively allocating power based on multi-terminal wireless charging in some embodiments of the present application. According to an embodiment of the present invention, the method of obtaining characteristic data corresponding to a plurality of preset terminals to be charged and processing them respectively to obtain corresponding charging demand indexes includes:

[0069] S21, obtaining characteristic data corresponding to a plurality of preset terminals to be charged, including charging demand data, location data, and charging efficiency data;

[0070] S22, the charging demand data includes battery power percentage data, battery capacity data and battery health data;

[0071] S23, the charging efficiency data includes battery internal resistance data, charging power data and charging time data;

[0072] S24: Process the charging demand data, the location data, and the charging efficiency data to obtain charging demand indexes corresponding to the multiple terminals to be charged.

[0073] It should be noted that in order to grasp the charging requirements corresponding to multiple terminals to be charged, it is necessary to understand their related states and characteristics, including charging requirement data, location data and charging efficiency data, wherein the charging requirement data includes battery power percentage, battery capacity and battery health data, the location data refers to the distance between the terminal to be charged and the wireless charging base station, and the charging efficiency data includes battery internal resistance data, charging power data and charging time data, and then the above data are processed to obtain the charging requirement index corresponding to the multiple terminals to be charged;

[0074] The calculation formula of the charging demand index is:

[0075] ;

[0076] in, is the charging demand index corresponding to the i-th terminal to be charged, , , are respectively the battery power percentage data, battery capacity data, and battery health data corresponding to the i-th terminal to be charged among the n terminals to be charged, For location data, , , are the battery internal resistance data, charging power data, and charging time data corresponding to the i-th terminal to be charged among the n terminals to be charged, , , is a preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset wireless charging monitoring platform database).

[0077] Please refer to Figure 3 , Figure 3 The present invention is a flowchart of a method for adaptively allocating power based on multi-terminal wireless charging in some embodiments of the present application to obtain corresponding charging power allocation data. According to an embodiment of the present invention, the charging characteristic data of the preset wireless charging base station is obtained, and the charging demand index corresponding to the multiple terminals to be charged is processed to obtain the charging power allocation data corresponding to each of the multiple terminals to be charged, including:

[0078] S31, obtaining charging characteristic data of a preset wireless charging base station, including total output power data and energy conversion efficiency data;

[0079] S32: Processing the total output power data and the energy conversion efficiency data in combination with the charging demand indexes corresponding to the multiple terminals to be charged to obtain charging power allocation data corresponding to each of the multiple terminals to be charged.

[0080] It should be noted that the charging power allocation data corresponding to each of the multiple terminals to be charged can be obtained by calculation based on the obtained charging demand index and the actual output power of the wireless charging base station, wherein the actual output power of the wireless charging base station is calculated by the total output power data and the energy conversion efficiency data;

[0081] The calculation formula of the charging power distribution data is:

[0082] ;

[0083] in, The charging power allocation data corresponding to the i-th terminal to be charged, , They are the total output power data and energy conversion efficiency data, is the charging demand index corresponding to the i-th terminal to be charged among the n terminals to be charged, is a preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset wireless charging monitoring platform database).

[0084] Please refer to Figure 4 , Figure 4 The present invention is a flowchart of a method for adaptively allocating power based on multi-terminal wireless charging in some embodiments of the present application, which dynamically adjusts power allocation according to the change in the number of terminals to be charged. According to an embodiment of the present invention, the real-time monitoring of the multiple terminals to be charged and the dynamic adjustment of power allocation according to the change in the number of terminals to be charged include:

[0085] S41, monitoring the plurality of terminals to be charged in real time, and determining whether the number of the terminals to be charged changes;

[0086] S42: If the number of the terminals to be charged changes, re-obtain the charging demand index corresponding to each terminal to be charged, and perform corresponding processing to obtain corresponding power allocation.

[0087] It should be noted that after the corresponding charging power allocation data are allocated to multiple terminals to be charged, the charging status of the multiple terminals to be charged is monitored in real time. If the number of terminals to be charged changes, such as a terminal to be charged exits the charging queue, or a new charging terminal joins the charging queue, then the charging demand index corresponding to each terminal to be charged is re-obtained, and the corresponding power allocation is obtained accordingly.

[0088] According to an embodiment of the present invention, the real-time monitoring of the charging status data corresponding to the plurality of terminals to be charged, processing to obtain a charging status evaluation index, and adjusting the corresponding charging power allocation data accordingly, includes:

[0089] Real-time monitoring of charging status data corresponding to the plurality of terminals to be charged, including real-time battery power change rate data and real-time power percentage data;

[0090] Obtain standard battery capacity change rate data and target capacity percentage data corresponding to multiple terminals to be charged;

[0091] According to the standard battery power change rate data and the target power percentage data, the real-time battery power change rate data and the real-time power percentage data are processed to obtain a corresponding charging state evaluation index;

[0092] Comparing the charging state evaluation index with a preset charging state evaluation threshold value to obtain a comparison result;

[0093] If the comparison result is not within the preset threshold range, the corresponding charging power allocation data is adjusted accordingly.

[0094] It should be noted that, in addition, if during the charging process, the charging speed of the charging terminal is too fast or too slow, or the power reaches the target value range, then the charging power allocation data of the corresponding charging terminal is adjusted;

[0095] Wherein, the calculation formula of the charging state evaluation index is:

[0096] ;

[0097] in, is the charging status evaluation index corresponding to the i-th terminal to be charged, , are respectively the standard battery power change rate data and the target power percentage data corresponding to the i-th terminal to be charged among the n terminals to be charged, , are respectively the real-time battery power change rate data and the real-time power percentage data corresponding to the i-th terminal to be charged among the n terminals to be charged, , is a preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset wireless charging monitoring platform database).

[0098] According to an embodiment of the present invention, the real-time monitoring of the wireless charging base station and the collection of real-time output characteristic data are combined with standard output characteristic data for processing to obtain a base station output abnormality index, and corresponding adjustments are made according to the base station output abnormality index, including:

[0099] Real-time monitoring of the wireless charging base station and collection of real-time output characteristic data, including real-time voltage data, real-time current data, and real-time temperature data;

[0100] Obtaining standard output characteristic data of the wireless charging base station, including maximum voltage data, maximum current data, and maximum temperature data;

[0101] According to the real-time voltage data, real-time current data and real-time temperature data, combined with the highest voltage data, the highest current data and the highest temperature data, a base station output abnormality index is obtained;

[0102] Comparing the base station output abnormality index with a preset base station output abnormality threshold to obtain a comparison result;

[0103] If the comparison result is greater than a preset threshold, the power supply of the wireless charging base station is automatically cut off.

[0104] It should be noted that in order to prevent equipment damage or safety accidents caused by excessive power or other abnormal conditions, it is necessary to take measures such as overvoltage protection, overcurrent protection, and temperature monitoring for the charging system. Therefore, the wireless charging base station is monitored in real time and real-time output characteristic data, including real-time voltage data, real-time current data, and real-time temperature data, are collected. At the same time, the standard output characteristic data of the wireless charging base station is obtained, including the highest voltage data, the highest current data, and the highest temperature data, and then processed according to the above data;

[0105] According to the real-time voltage data, real-time current data and real-time temperature data, combined with the maximum voltage data, the maximum current data and the maximum temperature data, a base station output abnormality index is obtained, and then according to the base station output abnormality index, it is determined whether it is necessary to cut off the power supply of the wireless charging base station;

[0106] The calculation formula of the base station output abnormality index is:

[0107] ;

[0108] in, Output anomaly index for base station, , , They are real-time voltage data, real-time current data, and real-time temperature data. , , They are respectively the highest voltage data, the highest current data, and the highest temperature data. , , is a preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset wireless charging monitoring platform database).

[0109] In a second aspect, the present invention further discloses a power adaptive allocation system based on multi-terminal wireless charging, including a memory and a processor, wherein the memory includes a power adaptive allocation method program based on multi-terminal wireless charging, and the power adaptive allocation method program based on multi-terminal wireless charging is executed by the processor to implement the following steps:

[0110] Acquire characteristic data corresponding to a plurality of preset charging terminals, and process them respectively to obtain corresponding charging demand indexes;

[0111] Acquire charging characteristic data of a preset wireless charging base station, and process the data in combination with charging demand indexes corresponding to the plurality of terminals to be charged, to obtain charging power allocation data corresponding to each of the plurality of terminals to be charged;

[0112] Monitor the multiple terminals to be charged in real time, and dynamically adjust power allocation according to changes in the number of terminals to be charged;

[0113] Monitor the charging status data corresponding to the plurality of terminals to be charged in real time, process to obtain a charging status evaluation index, and adjust the corresponding charging power allocation data accordingly;

[0114] The wireless charging base station is monitored in real time and real-time output characteristic data is collected, which is processed in combination with standard output characteristic data to obtain a base station output abnormality index, and corresponding adjustments are made according to the base station output abnormality index.

[0115] It should be noted that in order to automatically adjust the wireless charging power according to the charging needs and charging status of different terminals, realize efficient and intelligent multi-terminal wireless charging, and promptly handle abnormal situations, in this embodiment, first, by obtaining the characteristic data corresponding to the preset multiple terminals to be charged, respectively processing to obtain the corresponding charging demand index, obtaining the charging characteristic data of the preset wireless charging base station, and combining the charging demand indexes corresponding to the multiple terminals to be charged for processing, obtaining the charging power allocation data corresponding to the multiple terminals to be charged, real-time monitoring of the multiple terminals to be charged, and dynamically adjusting the power allocation according to the changes in the number of terminals to be charged, real-time monitoring of the charging status data corresponding to the multiple terminals to be charged, processing to obtain the charging status evaluation index, and adjusting the corresponding charging power allocation data accordingly, real-time monitoring of the wireless charging base station and collecting real-time output characteristic data, combining the standard output characteristic data for processing, obtaining the base station output abnormality index, and making corresponding adjustments according to the base station output abnormality index, thereby realizing the technology of power adaptive allocation based on multi-terminal wireless charging.

[0116] According to an embodiment of the present invention, the obtaining of characteristic data corresponding to a plurality of preset terminals to be charged and processing the characteristic data to obtain corresponding charging demand indexes respectively includes:

[0117] Acquire characteristic data corresponding to a plurality of preset terminals to be charged, including charging demand data, location data, and charging efficiency data;

[0118] The charging demand data includes battery power percentage data, battery capacity data and battery health data;

[0119] The charging efficiency data includes battery internal resistance data, charging power data and charging time data;

[0120] The charging demand indexes corresponding to the plurality of terminals to be charged are obtained by processing the charging demand data, the location data and the charging efficiency data.

[0121] It should be noted that in order to grasp the charging requirements corresponding to multiple terminals to be charged, it is necessary to understand their related states and characteristics, including charging requirement data, location data and charging efficiency data, wherein the charging requirement data includes battery power percentage, battery capacity and battery health data, the location data refers to the distance between the terminal to be charged and the wireless charging base station, and the charging efficiency data includes battery internal resistance data, charging power data and charging time data, and then the above data are processed to obtain the charging requirement index corresponding to the multiple terminals to be charged;

[0122] The calculation formula of the charging demand index is:

[0123] ;

[0124] in, is the charging demand index corresponding to the i-th terminal to be charged, , , are respectively the battery power percentage data, battery capacity data, and battery health data corresponding to the i-th terminal to be charged among the n terminals to be charged, For location data, , , are the battery internal resistance data, charging power data, and charging time data corresponding to the i-th terminal to be charged among the n terminals to be charged, , , is a preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset wireless charging monitoring platform database).

[0125] According to an embodiment of the present invention, the acquiring charging characteristic data of the preset wireless charging base station and processing the charging demand indexes corresponding to the multiple terminals to be charged to obtain the charging power allocation data corresponding to each of the multiple terminals to be charged includes:

[0126] Obtain charging characteristic data of a preset wireless charging base station, including total output power data and energy conversion efficiency data;

[0127] The total output power data and the energy conversion efficiency data are processed in combination with the charging demand indexes corresponding to the multiple terminals to be charged to obtain the charging power allocation data corresponding to each of the multiple terminals to be charged.

[0128] It should be noted that the charging power allocation data corresponding to each of the multiple terminals to be charged can be obtained by calculation based on the obtained charging demand index and the actual output power of the wireless charging base station, wherein the actual output power of the wireless charging base station is calculated by the total output power data and the energy conversion efficiency data;

[0129] The calculation formula of the charging power distribution data is:

[0130] ;

[0131] in, The charging power allocation data corresponding to the i-th terminal to be charged, , They are the total output power data and energy conversion efficiency data, is the charging demand index corresponding to the i-th terminal to be charged among the n terminals to be charged, is a preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset wireless charging monitoring platform database).

[0132] According to an embodiment of the present invention, the real-time monitoring of the plurality of terminals to be charged and the dynamic adjustment of power allocation according to the change in the number of the terminals to be charged include:

[0133] monitoring the plurality of terminals to be charged in real time, and determining whether the number of the terminals to be charged changes;

[0134] If the number of the terminals to be charged changes, the charging demand index corresponding to each terminal to be charged is re-acquired, and corresponding processing is performed to obtain the corresponding power allocation.

[0135] It should be noted that after the corresponding charging power allocation data are allocated to multiple terminals to be charged, the charging status of the multiple terminals to be charged is monitored in real time. If the number of terminals to be charged changes, such as a terminal to be charged exits the charging queue, or a new charging terminal joins the charging queue, then the charging demand index corresponding to each terminal to be charged is re-obtained, and the corresponding power allocation is obtained accordingly.

[0136] According to an embodiment of the present invention, the real-time monitoring of the charging status data corresponding to the plurality of terminals to be charged, processing to obtain a charging status evaluation index, and adjusting the corresponding charging power allocation data accordingly, includes:

[0137] Real-time monitoring of charging status data corresponding to the plurality of terminals to be charged, including real-time battery power change rate data and real-time power percentage data;

[0138] Obtain standard battery capacity change rate data and target capacity percentage data corresponding to multiple terminals to be charged;

[0139] According to the standard battery power change rate data and the target power percentage data, the real-time battery power change rate data and the real-time power percentage data are processed to obtain a corresponding charging state evaluation index;

[0140] Comparing the charging state evaluation index with a preset charging state evaluation threshold value to obtain a comparison result;

[0141] If the comparison result is not within the preset threshold range, the corresponding charging power allocation data is adjusted accordingly.

[0142] It should be noted that, in addition, if during the charging process, the charging speed of the charging terminal is too fast or too slow, or the power reaches the target value range, then the charging power allocation data of the corresponding charging terminal is adjusted;

[0143] Wherein, the calculation formula of the charging state evaluation index is:

[0144] ;

[0145] in, is the charging status evaluation index corresponding to the i-th terminal to be charged, , are respectively the standard battery power change rate data and the target power percentage data corresponding to the i-th terminal to be charged among the n terminals to be charged, , are respectively the real-time battery power change rate data and the real-time power percentage data corresponding to the i-th terminal to be charged among the n terminals to be charged, , is a preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset wireless charging monitoring platform database).

[0146] According to an embodiment of the present invention, the real-time monitoring of the wireless charging base station and the collection of real-time output characteristic data are combined with standard output characteristic data for processing to obtain a base station output abnormality index, and corresponding adjustments are made according to the base station output abnormality index, including:

[0147] Real-time monitoring of the wireless charging base station and collection of real-time output characteristic data, including real-time voltage data, real-time current data, and real-time temperature data;

[0148] Obtaining standard output characteristic data of the wireless charging base station, including maximum voltage data, maximum current data, and maximum temperature data;

[0149] According to the real-time voltage data, real-time current data and real-time temperature data, combined with the highest voltage data, the highest current data and the highest temperature data, a base station output abnormality index is obtained;

[0150] Comparing the base station output abnormality index with a preset base station output abnormality threshold to obtain a comparison result;

[0151] If the comparison result is greater than a preset threshold, the power supply of the wireless charging base station is automatically cut off.

[0152] It should be noted that in order to prevent equipment damage or safety accidents caused by excessive power or other abnormal conditions, it is necessary to take measures such as overvoltage protection, overcurrent protection, and temperature monitoring for the charging system. Therefore, the wireless charging base station is monitored in real time and real-time output characteristic data, including real-time voltage data, real-time current data, and real-time temperature data, are collected. At the same time, the standard output characteristic data of the wireless charging base station is obtained, including the highest voltage data, the highest current data, and the highest temperature data, and then processed according to the above data;

[0153] According to the real-time voltage data, real-time current data and real-time temperature data, combined with the maximum voltage data, the maximum current data and the maximum temperature data, a base station output abnormality index is obtained, and then according to the base station output abnormality index, it is determined whether it is necessary to cut off the power supply of the wireless charging base station;

[0154] The calculation formula of the base station output abnormality index is:

[0155] ;

[0156] in, Output anomaly index for base station, , , They are real-time voltage data, real-time current data, and real-time temperature data. , , They are respectively the highest voltage data, the highest current data, and the highest temperature data. , , is a preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset wireless charging monitoring platform database).

[0157] The power adaptive allocation method and system based on multi-terminal wireless charging disclosed in the present invention obtains characteristic data corresponding to a plurality of preset terminals to be charged, processes them respectively to obtain corresponding charging demand indexes, obtains charging characteristic data of a preset wireless charging base station, and processes them in combination with the charging demand indexes corresponding to the plurality of terminals to be charged, obtains charging power allocation data corresponding to each of the plurality of terminals to be charged, monitors the plurality of terminals to be charged in real time, and dynamically adjusts power allocation according to changes in the number of terminals to be charged, monitors the charging status data corresponding to the plurality of terminals to be charged in real time, processes them to obtain charging status evaluation indexes, and adjusts the corresponding charging power allocation data accordingly, monitors the wireless charging base station in real time and collects real-time output characteristic data, processes them in combination with standard output characteristic data, obtains base station output abnormality indexes, and makes corresponding adjustments according to the base station output abnormality indexes, thereby realizing the technology of power adaptive allocation based on multi-terminal wireless charging.

[0158] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as: multiple units or components can be combined, or can be integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the components shown or discussed can be through some interfaces, and the indirect coupling or communication connection of the devices or units can be electrical, mechanical or other forms.

[0159] The units described above as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units; they may be located in one place or distributed on multiple network units; some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0160] In addition, all functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately used as a unit, or two or more units may be integrated into one unit; the above-mentioned integrated units may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0161] Those skilled in the art can understand that: all or part of the steps of implementing the above method embodiments can be completed by hardware related to program instructions, the aforementioned program can be stored in a readable storage medium, and when the program is executed, it executes the steps of the above method embodiments; and the aforementioned storage medium includes: mobile storage devices, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), disks or optical disks, and other media that can store program codes.

[0162] Alternatively, if the above-mentioned integrated unit of the present invention is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a readable storage medium. Based on this understanding, the technical solution of the embodiment of the present invention can be essentially or partly reflected in the form of a software product that contributes to the prior art. The software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as mobile storage devices, ROM, RAM, magnetic disks or optical disks.

Claims

1. A method for adaptively adjusting power based on multi-terminal wireless charging, characterized in that: The following steps are involved: Acquire characteristic data corresponding to a plurality of preset charging terminals, and process them respectively to obtain corresponding charging demand indexes; Acquire charging characteristic data of a preset wireless charging base station, and process the data in combination with charging demand indexes corresponding to the plurality of terminals to be charged, to obtain charging power allocation data corresponding to each of the plurality of terminals to be charged; Monitor the multiple terminals to be charged in real time, and dynamically adjust power allocation according to changes in the number of terminals to be charged; Monitor the charging status data corresponding to the plurality of terminals to be charged in real time, process to obtain a charging status evaluation index, and adjust the corresponding charging power allocation data accordingly; Monitor the wireless charging base station in real time and collect real-time output characteristic data, process it in combination with standard output characteristic data, obtain a base station output abnormality index, and make corresponding adjustments according to the base station output abnormality index; The obtaining of characteristic data corresponding to a plurality of preset terminals to be charged and processing the characteristic data to obtain corresponding charging demand indexes respectively includes: Acquire characteristic data corresponding to a plurality of preset terminals to be charged, including charging demand data, location data, and charging efficiency data; The charging demand data includes battery power percentage data, battery capacity data and battery health data; The charging efficiency data includes battery internal resistance data, charging power data and charging time data; Processing the charging demand data, the location data, and the charging efficiency data to obtain charging demand indexes corresponding to the plurality of terminals to be charged; The acquiring charging characteristic data of the preset wireless charging base station and processing the charging characteristic data in combination with the charging demand indexes corresponding to the plurality of terminals to be charged to obtain the charging power allocation data corresponding to each of the plurality of terminals to be charged includes: Obtain charging characteristic data of a preset wireless charging base station, including total output power data and energy conversion efficiency data; According to the total output power data and the energy conversion efficiency data, and in combination with the charging demand indexes corresponding to the multiple terminals to be charged, the charging power allocation data corresponding to each of the multiple terminals to be charged are obtained; The calculation formula of the charging demand index is: ； in, is the charging demand index corresponding to the i-th terminal to be charged, , , are respectively the battery power percentage data, battery capacity data, and battery health data corresponding to the i-th terminal to be charged among the n terminals to be charged, For location data, , , are the battery internal resistance data, charging power data, and charging time data corresponding to the i-th terminal to be charged among the n terminals to be charged, , , is the preset characteristic coefficient; The calculation formula of the charging power distribution data is: ； in, The charging power allocation data corresponding to the i-th terminal to be charged, , They are the total output power data and energy conversion efficiency data, is the charging demand index corresponding to the i-th terminal to be charged among the n terminals to be charged, is the preset characteristic coefficient.

2. The power adaptive allocation method based on multi-terminal wireless charging according to claim 1 is characterized in that: The real-time monitoring of the plurality of terminals to be charged and dynamically adjusting power allocation according to changes in the number of the terminals to be charged includes: monitoring the plurality of terminals to be charged in real time, and determining whether the number of the terminals to be charged changes; If the number of the terminals to be charged changes, the charging demand index corresponding to each terminal to be charged is re-acquired, and corresponding processing is performed to obtain the corresponding power allocation.

3. The power adaptive allocation method based on multi-terminal wireless charging according to claim 2 is characterized in that: The real-time monitoring of the charging status data corresponding to the plurality of terminals to be charged, processing to obtain a charging status evaluation index, and adjusting the corresponding charging power allocation data accordingly, includes: Real-time monitoring of charging status data corresponding to the plurality of terminals to be charged, including real-time battery power change rate data and real-time power percentage data; Obtain standard battery capacity change rate data and target capacity percentage data corresponding to multiple terminals to be charged; According to the standard battery power change rate data and the target power percentage data, the real-time battery power change rate data and the real-time power percentage data are processed to obtain a corresponding charging state evaluation index; Comparing the charging state evaluation index with a preset charging state evaluation threshold value to obtain a comparison result; If the comparison result is not within the preset threshold range, the corresponding charging power allocation data is adjusted accordingly.

4. The power adaptive allocation method based on multi-terminal wireless charging according to claim 3 is characterized in that: The real-time monitoring of the wireless charging base station and the collection of real-time output characteristic data are combined with standard output characteristic data for processing to obtain a base station output abnormality index, and corresponding adjustments are made according to the base station output abnormality index, including: Real-time monitoring of the wireless charging base station and collection of real-time output characteristic data, including real-time voltage data, real-time current data, and real-time temperature data; Obtaining standard output characteristic data of the wireless charging base station, including maximum voltage data, maximum current data, and maximum temperature data; According to the real-time voltage data, real-time current data and real-time temperature data, combined with the highest voltage data, the highest current data and the highest temperature data, a base station output abnormality index is obtained; Comparing the base station output abnormality index with a preset base station output abnormality threshold to obtain a comparison result; If the comparison result is greater than a preset threshold, the power supply of the wireless charging base station is automatically cut off.

5. The power adaptive allocation system based on multi-terminal wireless charging is characterized by: The system includes: a memory and a processor, wherein the memory includes a program of a heating system load prediction method based on big data, and when the program of the heating system load prediction method based on big data is executed by the processor, the following steps are implemented: Acquire characteristic data corresponding to a plurality of preset charging terminals, and process them respectively to obtain corresponding charging demand indexes; Acquire charging characteristic data of a preset wireless charging base station, and process the data in combination with charging demand indexes corresponding to the plurality of terminals to be charged, to obtain charging power allocation data corresponding to each of the plurality of terminals to be charged; Monitor the multiple terminals to be charged in real time, and dynamically adjust power allocation according to changes in the number of terminals to be charged; Monitor the charging status data corresponding to the plurality of terminals to be charged in real time, process to obtain a charging status evaluation index, and adjust the corresponding charging power allocation data accordingly; Monitor the wireless charging base station in real time and collect real-time output characteristic data, process it in combination with standard output characteristic data, obtain a base station output abnormality index, and make corresponding adjustments according to the base station output abnormality index; The obtaining of characteristic data corresponding to a plurality of preset terminals to be charged and processing the characteristic data to obtain corresponding charging demand indexes respectively includes: Acquire characteristic data corresponding to a plurality of preset terminals to be charged, including charging demand data, location data, and charging efficiency data; The charging demand data includes battery power percentage data, battery capacity data and battery health data; The charging efficiency data includes battery internal resistance data, charging power data and charging time data; Processing the charging demand data, the location data, and the charging efficiency data to obtain charging demand indexes corresponding to the plurality of terminals to be charged; The acquiring charging characteristic data of the preset wireless charging base station and processing the charging characteristic data in combination with the charging demand indexes corresponding to the plurality of terminals to be charged to obtain the charging power allocation data corresponding to each of the plurality of terminals to be charged includes: Obtain charging characteristic data of a preset wireless charging base station, including total output power data and energy conversion efficiency data; According to the total output power data and the energy conversion efficiency data, and in combination with the charging demand indexes corresponding to the multiple terminals to be charged, the charging power allocation data corresponding to each of the multiple terminals to be charged are obtained; The calculation formula of the charging demand index is: ； in, is the charging demand index corresponding to the i-th terminal to be charged, , , are respectively the battery power percentage data, battery capacity data, and battery health data corresponding to the i-th terminal to be charged among the n terminals to be charged, For location data, , , are the battery internal resistance data, charging power data, and charging time data corresponding to the i-th terminal to be charged among the n terminals to be charged, , , is the preset characteristic coefficient; The calculation formula of the charging power distribution data is: ； in, The charging power allocation data corresponding to the i-th terminal to be charged, , They are the total output power data and energy conversion efficiency data, is the charging demand index corresponding to the i-th terminal to be charged among the n terminals to be charged, is the preset characteristic coefficient.

6. The power adaptive allocation system based on multi-terminal wireless charging according to claim 5 is characterized in that: The real-time monitoring of the plurality of terminals to be charged and dynamically adjusting power allocation according to changes in the number of the terminals to be charged includes: monitoring the plurality of terminals to be charged in real time, and determining whether the number of the terminals to be charged changes; If the number of the terminals to be charged changes, the charging demand index corresponding to each terminal to be charged is re-acquired, and corresponding processing is performed to obtain the corresponding power allocation.

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