A power bank and a wireless reverse charging method thereof

Abstract

The application provides a power bank and a wireless reverse charging method thereof, and belongs to the technical field of mobile power supply and wireless power transmission. The method comprises the following steps: performing real-time sampling processing on the global electromagnetic environment of the power bank in a standby state, performing amplitude verification and clutter filtering on the original electromagnetic signals obtained through sampling, and generating normalized electromagnetic sampling data; performing feature extraction and mode labeling processing on the normalized electromagnetic sampling data, and generating a multi-dimensional electromagnetic feature set; through cooperation of a receiving array and a low-power wide-area beacon sensing module, wireless power supply can be directly completed in a scene where there are power supply devices in the periphery but no fixed socket, the use limitation that the traditional power bank can only output power in one direction is effectively broken, and the applicable scene of the power bank is greatly widened.

Description

Technical Field

[0001] This invention proposes a power bank and its wireless reverse charging method, belonging to the cross-technical field of mobile power supply and wireless power transmission. Background Technology

[0002] Most mainstream power bank products on the market currently limit their reverse charging function to wired output scenarios, supplying power to external devices only through their own USB-A or Type-C interfaces. In related product promotions, this type of wired output function is often directly labeled as reverse charging, creating conceptual confusion with reverse charging technology at the wireless energy input level. This has long led to a fixed design logic where power banks are only used as a single energy output source.

[0003] These traditional power banks, once their own power is depleted, must rely on wired sockets to recharge. In scenarios without fixed sockets, such as field operations, emergency rescues, or messy desktop cables, they cannot utilize nearby devices with remaining power, such as new energy vehicles, high-power drone batteries, or laptops, to provide emergency power, thus becoming energy storage carriers with no practical value.

[0004] Under the existing universal Qi wireless charging standard, the roles of the transmitter and receiver are strictly defined. If a power bank is connected to this system as a wireless power receiver, the impedance of its internal lithium battery will increase synchronously as the remaining power decreases, directly causing resonant frequency drift. Conventional fixed-frequency transmitters cannot complete frequency tracking, ultimately resulting in a sharp drop in power transmission efficiency or even complete failure to couple. Furthermore, current power banks generally lack low-power wide-area beacon sensing modules, making them unable to actively detect nearby devices with wireless power supply capabilities. Even if a terminal capable of providing wireless power is present nearby, pairing interaction cannot be initiated, and this technological gap has remained unfilled for a long time. Summary of the Invention

[0005] This invention provides a power bank and its wireless reverse charging method to solve the problems mentioned in the background section above: This invention proposes a wireless reverse charging method for a power bank, the method comprising: S1. Real-time sampling and processing of the global electromagnetic environment in the standby state of the power bank; amplitude verification and noise filtering of the sampled raw electromagnetic signal to generate standardized electromagnetic sampling data; feature extraction and mode labeling processing of the standardized electromagnetic sampling data; extraction of device type feature parameters, field strength coverage feature parameters and power supply status feature parameters from the signal to generate a multi-dimensional electromagnetic feature set. S2. Perform signal association matching processing on the multi-dimensional electromagnetic feature set, use feature comparison algorithms in digital signal processing technology to identify the complete power supply attributes of surrounding devices, map the device power supply attributes to the preset device power supply classification system, and generate device power supply classification label data; perform coverage extension processing on the device power supply classification label data to supplement the distribution information of potential power supply devices not directly presented in the signal, and generate extended power supply status data. S3. Perform instruction conversion processing on the extended power supply status data, converting the device power supply status in the form of natural signals into hardware-executable wireless charging start commands, and generating wireless charging start command data; perform link matching analysis on the wireless charging start command data, and select link types that match the start command from the preset charging link library, and generate link type matching data. S4. Perform charging boundary delineation processing on the link type matching data, and limit the charging parameters of each matching link by combining the device type, field strength range and power supply status to generate parameter range limit data for each charging link; prioritize the parameter range limit data of each charging link to generate charging link call priority sequence data. S5. Perform path pre-switching processing on the charging link call priority sequence data, allocate independent hardware paths and operating bandwidth to each charging link, and generate charging path pre-allocation data; perform parallel start preparation on the charging path pre-allocation data, and generate multi-link parallel charging ready signal.

[0006] The present invention proposes a power bank, the power bank comprising: One or more processors; Memory, used to store one or more programs; Wherein, when the one or more programs are executed by the one or more processors, the one or more processors are made to implement the method described in any one of the above.

[0007] The beneficial effects of this invention are as follows: By cooperating with a receiving array and a low-power wide-area beacon sensing module, wireless power replenishment can be directly achieved in scenarios where there are powerable devices nearby but no fixed socket. This effectively breaks the limitation of traditional power banks, which can only output power in one direction, and significantly expands the applicable scenarios of power banks. Simultaneously, through the operation of an adaptive impedance collapse algorithm, the receiving bandwidth can be automatically widened when the power bank is low in power and has high internal resistance, accurately tracking the resonant point after drift, greatly improving the efficiency of wireless power transmission in low-power conditions. In special scenarios such as outdoor emergencies and messy desktop cables, it effectively avoids the problem of power banks becoming unusable after running out of power. It eliminates the need to rely on wired sockets for power replenishment and can utilize scattered power-carrying devices in the vicinity for emergency energy storage, significantly improving the reliability of use in complex scenarios. Attached Figure Description

[0008] Figure 1 This is a diagram illustrating the steps of the method described in this invention; Figure 2 This is a diagram of step S1 as described in the present invention; Figure 3 This is a diagram of step S3 as described in this invention; Figure 4 This is a diagram of step S5 of the present invention. Detailed Implementation

[0009] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.

[0010] One embodiment of the present invention, such as Figure 1 As shown, a method for wireless reverse charging of a power bank includes: S1. Real-time sampling and processing of the global electromagnetic environment in the standby state of the power bank; amplitude verification and noise filtering of the sampled raw electromagnetic signal to generate standardized electromagnetic sampling data; feature extraction and mode labeling processing of the standardized electromagnetic sampling data; extraction of device type feature parameters, field strength coverage feature parameters and power supply status feature parameters from the signal to generate a multi-dimensional electromagnetic feature set. S2. Perform signal association matching processing on the multi-dimensional electromagnetic feature set, use feature comparison algorithms in digital signal processing technology to identify the complete power supply attributes of surrounding devices, map the device power supply attributes to the preset device power supply classification system, and generate device power supply classification label data; perform coverage extension processing on the device power supply classification label data to supplement the distribution information of potential power supply devices not directly presented in the signal, and generate extended power supply status data. S3. Perform instruction conversion processing on the extended power supply status data, converting the device power supply status in the form of natural signals into hardware-executable wireless charging start commands, and generating wireless charging start command data; perform link matching analysis on the wireless charging start command data, and select link types that match the start command from the preset charging link library, and generate link type matching data. S4. Perform charging boundary delineation processing on the link type matching data, and limit the charging parameters of each matching link by combining the device type, field strength range and power supply status to generate parameter range limit data for each charging link; prioritize the parameter range limit data of each charging link to generate charging link call priority sequence data. S5. Perform path pre-switching processing on the charging link call priority sequence data, allocate independent hardware paths and operating bandwidth to each charging link, and generate charging path pre-allocation data; perform parallel start preparation on the charging path pre-allocation data, and generate multi-link parallel charging ready signal.

[0011] The working principle and effects of the above technical solution are as follows: By sampling and purifying the electromagnetic environment in real time, the accuracy of identifying surrounding electrical devices in the standby state of the power bank can be effectively improved, reducing device identification deviations caused by environmental noise interference. Through multi-level electromagnetic feature matching and power supply status extension and deduction, the information of electrical devices in the visible range and spatial blind spots can be fully captured, enhancing the comprehensiveness of device power supply status perception. By converting the power supply status into standardized hardware start-up commands and matching them with the appropriate charging link, the smoothness of wireless reverse charging startup and the rationality of link adaptation can be improved, reducing energy loss caused by charging link mismatch. By constraining the charging parameters by boundary and prioritizing the link, the allocation logic of charging resources can be optimized, reducing the generation of invalid charging conditions. By completing hardware path switching and resource pre-allocation operations in advance, the operational stability of multi-device parallel charging can be ensured, and charging anomalies caused by parameter over-limits and path crosstalk can be avoided, thus improving the overall adaptability and operational efficiency of the power bank's wireless reverse charging.

[0012] One embodiment of the present invention, such as Figure 2 As shown, S1 includes: S11. Deploy a built-in ring electromagnetic induction array module in the power bank to continuously collect the alternating electromagnetic waveforms diffusely distributed at different distance levels in the surrounding space, continuously record the original electromagnetic time-series waveform sequence with a fixed duration, and aggregate them to form the original electromagnetic sampling data stream of the entire space. S12. Retrieve waveform point values ​​from the original electromagnetic sampling data stream of the entire space frame by frame, compare the peak threshold range of the waveform segment by segment to remove abnormal waveform components with excessive amplitude offset, and use an adaptive Gaussian noise reduction algorithm to flush out spatial random noise interference components carried by the waveform. Regularize and unify the sampling accuracy and timing interval of all waveforms, and output the normalized electromagnetic sampling data after the regularization is completed. S13. Analyze the three core waveform attributes of the normalized electromagnetic sampling data segment by segment: waveform oscillation frequency, waveform decay rate, and continuous conduction duration. Based on the time-series feature decomposition method, extract the equipment type identification information, spatial field strength variation information, and dynamic fluctuation information of the remaining power of the electrical equipment hidden in the electromagnetic waveform. S14. The three types of information obtained from the disassembly are quantized and converted into digital parameters that can be read by the main control chip. Each set of parameters is assigned a unique timing mark sequence. All quantized parameters and timing mark contents are integrated to finally generate a complete multi-dimensional electromagnetic feature set.

[0013] The working principle and effects of the above technical solution are as follows: Continuous acquisition of electromagnetic signals across the entire spatial domain is achieved through a ring-shaped electromagnetic induction array module, expanding the acquisition coverage and improving the integrity of electromagnetic data acquisition. By verifying waveform amplitude frame by frame and removing abnormal waveforms and spatial noise, the purity of electromagnetic sampling data is improved, reducing data distortion caused by environmental interference. By decomposing multiple core waveform attributes and extracting hidden device status information, the effective information contained in the electromagnetic data can be deeply mined, enhancing the comprehensiveness of electromagnetic feature extraction. Feature integration is achieved through a unified data quantization format and dedicated timing markers, ensuring rapid identification and reading of electromagnetic data by the main control chip and unifying the output standards of multi-dimensional feature data. This reduces data errors in subsequent device matching and operating condition identification processes, providing accurate and stable data support for subsequent wireless reverse charging link matching and parameter control.

[0014] In one embodiment of the present invention, S2 includes: S21. Retrieve the standard electromagnetic feature reference library of various portable electrical devices pre-stored in the storage medium, compare and couple each set of parameters in the multi-dimensional electromagnetic feature set with the built-in reference parameters in the reference library one by one, calculate the feature overlap value between each set of parameters, and select the reference item with the highest overlap value to complete the signal association pairing. S22. Based on the pairing completed baseline entry, retrieve the device power consumption range, remaining power consumption rate, wireless charging adapter specifications and all inherent power supply attributes of the bound entry, and summarize and integrate the various attribute contents to obtain the complete power supply attribute contents of each device to be charged in the vicinity. S23. Based on the differences in power supply attributes of different devices, divide them into multiple power supply levels such as low-power wearable devices, medium-power mobile terminals, and high-power tablet terminals. Assign each device's complete power supply attributes to the corresponding level category, assign a unique digital identification code to each level, and generate device power supply classification label data after the coding is integrated. S24. Based on the known field strength attenuation law at the location of the equipment, reverse the electromagnetic distribution trend of the spatial blind zone, and calculate the location and power consumption of small electrical equipment hidden in the spatial blind zone that has not been directly sampled according to the field strength gradient change. Add the calculated potential equipment operation information to the existing tag data, and generate extended power supply status data after expanding the overall content.

[0015] The working principle and effects of the above technical solution are as follows: By comparing and coupling electromagnetic characteristic parameters item by item, device signal pairing is completed, which improves the accuracy of identifying surrounding electrical equipment and reduces the occurrence of electromagnetic feature mismatches. By collecting and uniformly integrating the inherent power supply attributes of various devices, the power operation status of the devices can be fully analyzed, improving the completeness of device power supply information collection. By classifying devices into levels according to power supply differences and configuring dedicated digital codes, the classification standards of device data can be standardized, making the distinction of device operating conditions clearer. By extrapolating device information in spatial blind spots through field strength attenuation laws, device data that cannot be captured by conventional sampling can be supplemented, expanding the range of device status perception. This processing method can cover electrical equipment information within the visible range and supplement potential device operating conditions in spatial blind spots, effectively reducing the problems of missed device detection and missing information, making the subsequent wireless reverse charging condition judgment more consistent with the actual environment and ensuring the accuracy of charging adaptation.

[0016] In one embodiment of the present invention, step S21 includes: Call the standardized electromagnetic feature resource library built into the device's storage medium, batch read the inherent electromagnetic waveform parameters, steady-state field strength characteristic parameters, and dynamic electromagnetic fluctuation parameters of various portable electrical devices in the resource library, and collect all standardized parameters to form a device reference electromagnetic feature dataset; Extract real-time electromagnetic waveform data, spatial field strength data, and signal fluctuation data from the multi-dimensional electromagnetic feature set, and perform dimension-by-dimensional and index-by-index coupling and comparison between the real-time feature parameters and the standard parameters of the equipment's benchmark electromagnetic feature dataset. The index matching ratio and numerical deviation range between the two sets of parameters are statistically analyzed, the matching and overlap degree of each set of electromagnetic characteristic parameters is quantitatively calculated, and continuous characteristic overlap statistics are generated. The system performs hierarchical filtering on the statistical data of feature overlap across the entire domain, selects the equipment baseline feature entries with the best overlap values, completes the association matching and binding between real-time electromagnetic signals and standard equipment features, and generates equipment electromagnetic feature pairing result data.

[0017] The working principle and effects of the above technical solution are as follows: By collecting standard electromagnetic parameters from multiple types of devices to construct a benchmark dataset, the evaluation criteria for device identification can be unified, providing a stable data reference for device matching judgment. Through multi-dimensional coupling and comparison of real-time electromagnetic features and standard parameters, the verification granularity of signal matching can be refined, improving the detail of device identification. By quantifying the statistical parameter matching ratio and numerical deviation, the degree of matching of different device signals can be accurately measured, reducing the uncertainty caused by subjective judgment. By selecting the optimal overlap feature items to complete signal binding matching, the overall accuracy of identifying surrounding electrical equipment can be improved, and mismatches and incorrect matching problems occurring in environments with mixed electromagnetic signals can be reduced. This avoids the situation where device identification deviations lead to subsequent charging adaptation anomalies, providing accurate and reliable preliminary data support for subsequent device power supply attribute analysis and charging link matching.

[0018] In one embodiment of the present invention, step S24 includes: Collect spatial distribution data of classified and labeled devices and real-time field strength sampling values, statistically analyze the electromagnetic signal attenuation amplitude corresponding to different spatial distances and azimuth angles, summarize the gradient change characteristics of electromagnetic signals in the whole domain, and generate standardized spatial field strength attenuation law data. By combining spatial field strength attenuation data, the distribution trend of electromagnetic signals in the blind zone of the whole domain detection is deduced, the weak electromagnetic fluctuation components in the spatial range of the blind zone are analyzed, and electrical equipment targets in the blind zone environment that have not been directly sampled and captured are screened. The weak electromagnetic components obtained from blind zone screening are analyzed for characteristics, the electromagnetic operation patterns of the equipment are compared to identify the equipment type, the real-time power consumption fluctuations and continuous operating status of the equipment are calculated, and real-time power consumption data of the blind zone equipment is generated. The blind spot equipment location information and power consumption data are added in batches to the existing equipment power supply classification label data to complete the supplementation and update of power supply equipment data across the entire region, standardize all data dimensions and parameter accuracy, and generate extended power supply status data.

[0019] The working principle and effects of the above technical solution are as follows: By statistically analyzing the attenuation characteristics of electromagnetic signals across the entire space, a field strength variation law that closely matches the actual environment can be formed, improving the accuracy of spatial electromagnetic environment assessment. By inferring the electromagnetic signal status of blind spots based on field strength laws, hidden electrical devices that cannot be captured by conventional sampling processes can be identified, significantly expanding the coverage of device detection. By analyzing the weak electromagnetic components in the blind spots to determine device type and operating power consumption, the real-time operating status of devices in the blind spots can be accurately grasped, filling the information gaps in environmental perception. By integrating blind spot device data to update the original tag data, the problem of missed device detection caused by spatial detection blind spots can be eliminated, and the accuracy standard of device data across the entire area can be unified, reducing charging judgment deviations caused by missing local information. This allows the power bank to have a more comprehensive and complete perception of the status of surrounding electrical devices, laying a solid data foundation for the precise control of subsequent wireless reverse charging.

[0020] One embodiment of the present invention, such as Figure 3 As shown, S3 includes: S31. Deconstruct the extended power supply status data, including multiple operating condition information such as equipment power consumption demand, spatial receiving field strength, and expected power replenishment. Decompose the continuous operation condition digital information into segmented trigger control fields and fill them into the charging instruction standard frame structure in sequence. S32. Adjust the field arrangement order inside the instruction frame according to the hardware driver timing arrangement rules of the power bank's wireless transmitting coil, correct the field timing arrangement deviation to ensure that the main control chip can read and parse all field contents byte by byte, and generate standardized wireless charging start instruction data after the field arrangement is completed. S33. Retrieve the multi-specification wireless power transmission charging link resource library pre-stored and built in the firmware, extract the charging demand constraints recorded in the wireless charging start command data one by one, and compare and verify the constraints with the adaptation conditions of each link in the link resource library. S34. Retain all energy transmission link entries that can meet the current charging requirements and record the coil arrangement, resonant operating frequency, energy transmission loss coefficient, and core link parameters of each link. After summarizing and collecting all the matching entries, generate link type matching data.

[0021] The working principle and effects of the above technical solution are as follows: By decomposing multi-dimensional device operating condition information and filling it into standard command frames, the complex device power supply status can be transformed into standardized control fields, improving the integrity of the charging command information. By standardizing the command frame field arrangement according to the hardware driver timing, it can adapt to the parsing logic of the main control chip, reducing the occurrence of command reading errors or parsing failures, and improving the stability of charging command execution. By comparing and verifying the charging demand with various charging link operating conditions one by one, the energy transmission link suitable for the current device operating condition can be selected, improving the degree of link matching. By summarizing the core operating parameters of the adapted links to complete data aggregation, it can not only match the wireless charging needs of different devices, but also reduce the energy loss caused by link mismatch, avoid the problems of low charging efficiency and unstable power supply caused by improper link adaptation, and effectively improve the operating condition adaptability and overall operating performance of the wireless reverse charging system.

[0022] In one embodiment of the present invention, S32 includes: Extract the initial instruction frame data composed of segmented trigger control fields, verify the byte length, data precision and timing arrangement format of each control field segment by segment, remove disordered and redundant fields inside the instruction frame, standardize the storage format of all fields, and generate preliminary standardized instruction frame data. Referring to the timing operation rules of the wireless transmitting coil hardware driver of the power bank, the arrangement order of various control fields inside the preliminary regularization instruction frame data is adjusted, the timing logic of the hardware driver module is matched with the byte-by-byte reading, the timing deviation caused by field misalignment is eliminated, and timing calibration instruction frame data is generated. The timing calibration instruction frame data is traversed and verified byte by byte to check for missing fields, data errors, timing offsets, etc., and the overall structure of the instruction frame is fine-tuned and corrected to ensure that the instruction frame is adapted to the hardware parsing logic. After solidifying and fine-tuning the complete instruction frame structure and field arrangement, unifying the data format and transmission accuracy of instruction output, and completing the standardization and calibration of all fields, standardized wireless charging start instruction data is generated.

[0023] The working principle and effects of the above technical solution are as follows: By verifying the various field parameters of the initial command frame segment by segment, redundant and disordered content within the frame structure can be cleaned up, improving the cleanliness of the initial command data and reducing interference from invalid data to command parsing. By adjusting the field arrangement order to match the hardware driver timing, timing deviations caused by field misalignment can be eliminated, ensuring that the command content conforms to the reading and execution logic of the hardware module. By traversing and verifying the command frame byte by byte and correcting defects a second time, various data anomalies can be comprehensively investigated, significantly reducing the probability of command parsing errors. By solidifying the calibrated command frame structure and output format, the output standard of the charging start command can be unified. The entire processing method can ensure stable reading and accurate parsing of charging commands by the main control chip, and avoid charging start-up stuttering and abnormal operation caused by non-standard command formats, effectively improving the reliability of wireless reverse charging command transmission and execution.

[0024] In one embodiment of the present invention, step S4 includes: S41. Retrieve the basic operating parameters of each transmission link recorded in the link type matching data one by one, and combine them with the upper limit value of the built-in wireless receiving module of the corresponding device to be charged and the value of the fluctuation range of the electromagnetic field strength of the device placement location to constrain the link operating range in both directions. S42. Define the maximum allowable range of four key operating parameters for each link: adjustable resonant frequency range, upper and lower limits of transmit power output, range of energy transmission duty cycle variation, and longest continuous conduction time, to avoid energy loss surge or receiver overload caused by parameter exceeding limits. S43. Record and archive the predetermined variation range of the four parameters of each link, bind the corresponding compatible power equipment number for classification and storage, integrate and summarize all link parameter range records, and generate parameter range limit data for each charging link. S44. Based on the three evaluation dimensions of the remaining urgently needed power supply of the device, the quality of spatial field strength reception, and the efficiency of wireless charging reception, calculate the comprehensive adaptation score for each link, arrange the link calling order in descending order of the score, and generate charging link calling priority sequence data after the arrangement work is completed.

[0025] The working principle and effects of the above technical solution are as follows: By combining the device's receiving capability with the spatial field strength to constrain the charging link's operating range, the link's operating state can be limited to fit the actual charging environment, reducing the occurrence of parameter mismatches. By defining reasonable variation ranges for multiple core operating parameters, the negative effects of abnormal parameter fluctuations can be suppressed, preventing a significant increase in energy transmission loss or overload of the device. By classifying and archiving various link parameter ranges, charging parameter data can be organized, improving the convenience of subsequent parameter retrieval and recall. By evaluating link adaptation performance from multiple dimensions and sorting the recall order, charging links with better compatibility can be selected. The entire processing method not only ensures that charging parameters operate within a safe and stable range, guaranteeing the charging safety of the device, but also optimizes the overall charging logic, improves the efficiency and stability of wireless reverse charging, and reduces resource waste caused by ineffective charging conditions.

[0026] In one embodiment of the present invention, S44 includes: S441. Extract parameter range limit data corresponding to each charging link, batch collect data on the remaining power replenishment needs of the adapted devices, real-time spatial field strength reception data, and wireless energy transmission reception efficiency data, and compile them into multi-dimensional link adaptation evaluation basic data. S442. Quantify and assign values ​​to the basic data of multi-dimensional link adaptation evaluation, unify the quantitative scoring standards of each evaluation dimension, complete the standardized conversion of data of different dimensions, and generate single-dimensional scoring result data of each charging link. S443. Perform weighted fusion calculation on the single-dimensional scoring results of each charging link, integrate the multi-dimensional scoring results to obtain the comprehensive adaptation score of each link, and generate statistical data of the overall charging link adaptation score. S444. Sort and organize the statistical data of the adaptation scores of the entire charging link, and complete the link calling order in descending order of scores, solidify the calling arrangement order of all links, and generate charging link calling priority sequence data.

[0027] The working principle and effects of the above technical solution are as follows: By collecting various types of information such as power replenishment, spatial field strength, and transmission efficiency to build a basic evaluation data set, it can comprehensively encompass various conditions affecting the charging experience, enhancing the comprehensiveness of link evaluation. By converting various heterogeneous data using unified scoring rules, it can smooth out the numerical differences between different parameters and reduce evaluation bias caused by dimensional differences. By summarizing the scores through weighted calculations to obtain a comprehensive evaluation result, it can take into account the differences in the importance of various charging needs, making the score calculation more in line with actual usage scenarios. By arranging the link activation order according to the score, it can prioritize the energy transmission channel with the best operating performance. The entire process can not only eliminate the one-sidedness caused by single-condition judgment, but also reduce the fluctuations in charging efficiency caused by random link selection, avoid the unnecessary power consumption caused by the continuous operation of inferior links, and steadily improve the energy utilization rate of wireless reverse charging and the device charging experience.

[0028] In one embodiment of the present invention, S443 includes: Retrieve the single-dimensional scoring results data corresponding to each charging link, standardize and regulate the scoring accuracy and data format of different evaluation dimensions, eliminate the calculation deviation caused by the difference in numerical magnitude between dimensions, and generate a standardized single-dimensional scoring dataset. Preset fixed weight ratio coefficients for each evaluation dimension, and match the weight ratio of each dimension with the working condition adaptation requirements of wireless reverse charging to complete the corresponding binding of weight coefficients and standardized single-dimensional scoring data. A weighted iterative calculation is performed on each link of the scoring data with bound weight coefficients. The weighted values ​​of each dimension are accumulated and the comprehensive scoring result of a single charging link is obtained. The comprehensive scoring results of all charging links are collected to complete the overall data aggregation and collection, the output format of all link scoring data is standardized, and statistical data on the overall charging link adaptation score is generated.

[0029] The working principle and effects of the above technical solution are as follows: By unifying the precision and storage format of various scoring data, the numerical gap between different evaluation dimensions can be bridged, reducing calculation errors caused by differences in magnitude, and providing a unified calculation basis for the initial scoring data. Assigning weight values ​​to each dimension according to actual charging conditions aligns with the real needs of device charging, avoiding bias caused by treating all charging conditions equally. Performing weighted cumulative calculations for each link objectively integrates multiple evaluation factors to arrive at a total score, improving the rigor of link suitability assessment. Unifying and standardizing all link scoring content facilitates subsequent overall sorting and retrieval. This entire calculation process avoids scoring distortion caused by messy data formats and inconsistent magnitudes, ensuring that the comprehensive score matches the current charging scenario requirements, reducing unreasonable allocation due to subjective link selection, making the charging link selection results more fair, and continuously optimizing the overall performance of wireless energy transmission.

[0030] One embodiment of the present invention, such as Figure 4 As shown, S5 includes: S51. According to the predetermined arrangement of the priority sequence data of the charging link, the internal power distribution switch array and multi-channel resonant drive hardware channel resources of the power bank are called in sequence, and the idle hardware channels are closed one by one to eliminate energy crosstalk interference between channels. S52. Allocate dedicated power output hardware channels and digital control bandwidth resources for each charging link to be activated in the sequence, set the upper limit of bandwidth occupation for each channel to prevent bandwidth resource squeezing during the operation of multiple links, and generate pre-allocation data for charging paths after the resource allocation is completed. S53. Perform no-load continuity test on each hardware path recorded in the pre-allocated data of the charging path, verify multiple hardware operation indicators such as path voltage conduction stability, resonant circuit response speed, and bandwidth transmission smoothness, identify hidden continuity fault points inside the path, and complete path fine-tuning and correction. S54. Simultaneously complete the initialization and calibration of all allocated channel hardware parameters, uniformly latch the predetermined operating parameter values ​​of each channel, and after all hardware channels reach the operating state of being able to stably output wireless energy, output a multi-link parallel charging ready signal that can be retrieved and identified by the main control unit.

[0031] The working principle and effects of the above technical solution are as follows: By shutting down idle hardware channels, energy crosstalk between different hardware paths can be reduced, minimizing interference from stray signals on the wireless charging operation. By allocating hardware channels and bandwidth resources separately to each charging link, the resource usage of multiple links can be balanced, eliminating resource contention when multiple devices are charging simultaneously and improving the coordination of multi-link operation. By performing no-load detection and parameter calibration on preset charging paths, potential operational faults in hardware paths can be identified, improving the stability of hardware path operation. By uniformly calibrating and latching various operating parameters, all charging paths can maintain a regular operating state, meeting the operating conditions for multi-link parallel charging. This entire processing method not only improves the parallel operation capability of multi-device wireless reverse charging but also reduces charging fluctuations and fault probability caused by hardware anomalies, continuously improving the output stability and multi-device compatibility of power bank wireless reverse charging.

[0032] According to one embodiment of the present invention, a power bank includes: One or more processors; Memory, used to store one or more programs; Wherein, when the one or more programs are executed by the one or more processors, the one or more processors are made to implement the method described in any one of the above.

[0033] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A method for wireless reverse charging of a power bank, characterized in that, The method includes: S1. Real-time sampling and processing of the global electromagnetic environment under standby state of the power bank; amplitude verification and clutter filtering of the sampled raw electromagnetic signal to generate standardized electromagnetic sampling data; feature extraction and pattern labeling processing of the standardized electromagnetic sampling data to generate a multi-dimensional electromagnetic feature set. S2. Perform signal association matching processing on the multi-dimensional electromagnetic feature set, use feature comparison algorithms in digital signal processing technology to identify the complete power supply attributes of surrounding devices, map the device power supply attributes to the preset device power supply classification system, and generate device power supply classification label data; perform coverage extension processing on the device power supply classification label data to generate extended power supply status data. S3. Perform instruction conversion processing on the extended power supply status data, converting the device power supply status in the form of natural signals into hardware-executable wireless charging start commands, and generating wireless charging start command data; perform link matching analysis on the wireless charging start command data to generate link type matching data. S4. Perform charging boundary delineation processing on the link type matching data, and limit the charging parameters of each matching link by combining the device type, field strength range and power supply status to generate parameter range limit data for each charging link; prioritize the parameter range limit data of each charging link to generate charging link call priority sequence data. S5. Perform path pre-switching processing on the charging link call priority sequence data, allocate independent hardware paths and operating bandwidth to each charging link, and generate charging path pre-allocation data; perform parallel start preparation on the charging path pre-allocation data, and generate multi-link parallel charging ready signal.

2. The wireless reverse charging method for a power bank according to claim 1, characterized in that, S1 includes: S11. Deploy a built-in ring electromagnetic induction array module in the power bank to continuously collect the alternating electromagnetic waveforms diffusely distributed at different distance levels in the surrounding space, continuously record the original electromagnetic time-series waveform sequence with a fixed duration, and aggregate them to form the original electromagnetic sampling data stream of the entire space. S12. Retrieve waveform point values ​​from the original electromagnetic sampling data stream of the entire space frame by frame, compare the peak threshold range of the waveform segment by segment to remove abnormal waveform components with excessive amplitude offset, and use an adaptive Gaussian noise reduction algorithm to flush out spatial random noise interference components carried by the waveform. Regularize and unify the sampling accuracy and timing interval of all waveforms, and output the normalized electromagnetic sampling data after the regularization is completed. S13. Analyze the three core waveform attributes of the normalized electromagnetic sampling data segment by segment: waveform oscillation frequency, waveform decay rate, and continuous conduction duration. Based on the time-series feature decomposition method, extract the equipment type identification information, spatial field strength variation information, and dynamic fluctuation information of the remaining power of the electrical equipment hidden in the electromagnetic waveform. S14. The three types of information obtained from the disassembly are quantized and converted into digital parameters that can be read by the main control chip. Each set of parameters is assigned a unique timing mark sequence. All quantized parameters and timing mark contents are integrated to finally generate a complete multi-dimensional electromagnetic feature set.

3. The wireless reverse charging method for a power bank according to claim 1, characterized in that, S2 includes: S21. Retrieve the standard electromagnetic feature reference library of various portable electrical devices pre-stored in the storage medium, compare and couple each set of parameters in the multi-dimensional electromagnetic feature set with the built-in reference parameters in the reference library one by one, calculate the feature overlap value between each set of parameters, and select the reference item with the highest overlap value to complete the signal association pairing. S22. Based on the pairing completed baseline entry, retrieve the device power consumption range, remaining power consumption rate, wireless charging adapter specifications and all inherent power supply attributes of the bound entry, and summarize and integrate the various attribute contents to obtain the complete power supply attribute contents of each device to be charged in the vicinity. S23. Based on the differences in power supply attributes of different devices, divide them into multiple power supply levels such as low-power wearable devices, medium-power mobile terminals, and high-power tablet terminals. Assign each device's complete power supply attributes to the corresponding level category, assign a unique digital identification code to each level, and generate device power supply classification label data after the coding is integrated. S24. Based on the known field strength attenuation law at the location of the equipment, reverse the electromagnetic distribution trend of the spatial blind zone, and calculate the location and power consumption of small electrical equipment hidden in the spatial blind zone that has not been directly sampled according to the field strength gradient change. Add the calculated potential equipment operation information to the existing tag data, and generate extended power supply status data after expanding the overall content.

4. The wireless reverse charging method for a power bank according to claim 3, characterized in that, S21 includes: Call the standardized electromagnetic feature resource library built into the device's storage medium, batch read the inherent electromagnetic waveform parameters, steady-state field strength characteristic parameters, and dynamic electromagnetic fluctuation parameters of various portable electrical devices in the resource library, and collect all standardized parameters to form a device reference electromagnetic feature dataset; Extract real-time electromagnetic waveform data, spatial field strength data, and signal fluctuation data from the multi-dimensional electromagnetic feature set, and perform dimension-by-dimensional and index-by-index coupling and comparison between the real-time feature parameters and the standard parameters of the equipment's benchmark electromagnetic feature dataset. The index matching ratio and numerical deviation range between the two sets of parameters are statistically analyzed, the matching and overlap degree of each set of electromagnetic characteristic parameters is quantitatively calculated, and continuous characteristic overlap statistics are generated. The system performs hierarchical filtering on the statistical data of feature overlap across the entire domain, selects the equipment baseline feature entries with the best overlap values, completes the association matching and binding between real-time electromagnetic signals and standard equipment features, and generates equipment electromagnetic feature pairing result data.

5. The wireless reverse charging method for a power bank according to claim 1, characterized in that, The S3 includes: S31. Deconstruct the extended power supply status data, including multiple operating condition information such as equipment power consumption demand, spatial receiving field strength, and expected power replenishment. Decompose the continuous operation condition digital information into segmented trigger control fields and fill them into the charging instruction standard frame structure in sequence. S32. Adjust the field arrangement order inside the instruction frame according to the hardware driver timing arrangement rules of the power bank's wireless transmitting coil, correct the field timing arrangement deviation to ensure that the main control chip can read and parse all field contents byte by byte, and generate standardized wireless charging start instruction data after the field arrangement is completed. S33. Retrieve the multi-specification wireless power transmission charging link resource library pre-stored and built in the firmware, extract the charging demand constraints recorded in the wireless charging start command data one by one, and compare and verify the constraints with the adaptation conditions of each link in the link resource library. S34. Retain all energy transmission link entries that match the current charging requirements, record the coil arrangement, resonant operating frequency, energy transmission loss coefficient, and core link parameters of each link, and generate link type matching data after summarizing and collecting all matching entries.

6. The wireless reverse charging method for a power bank according to claim 1, characterized in that, The S4 includes: S41. Retrieve the basic operating parameters of each transmission link recorded in the link type matching data one by one, and combine them with the upper limit value of the built-in wireless receiving module of the corresponding device to be charged and the value of the fluctuation range of the electromagnetic field strength of the device placement location to constrain the link operating range in both directions. S42. Define the maximum allowable range of four key operating parameters for each link: adjustable resonant frequency range, upper and lower limits of transmit power output, range of energy transmission duty cycle variation, and longest continuous conduction time, to avoid energy loss surge or receiver overload caused by parameter exceeding limits. S43. Record and archive the predetermined variation range of the four parameters of each link, bind the corresponding compatible power equipment number for classification and storage, integrate and summarize all link parameter range records, and generate parameter range limit data for each charging link. S44. Based on the three evaluation dimensions of the remaining urgently needed power supply of the device, the quality of spatial field strength reception, and the efficiency of wireless charging reception, calculate the comprehensive adaptation score for each link, arrange the link calling order in descending order of the score, and generate charging link calling priority sequence data after the arrangement work is completed.

7. The wireless reverse charging method for a power bank according to claim 6, characterized in that, S44 includes: S441. Extract parameter range limit data corresponding to each charging link, batch collect data on the remaining power replenishment needs of the adapted devices, real-time spatial field strength reception data, and wireless energy transmission reception efficiency data, and compile them into multi-dimensional link adaptation evaluation basic data. S442. Quantify and assign values ​​to the basic data of multi-dimensional link adaptation evaluation, unify the quantitative scoring standards of each evaluation dimension, complete the standardized conversion of data of different dimensions, and generate single-dimensional scoring result data of each charging link. S443. Perform weighted fusion calculation on the single-dimensional scoring results of each charging link, integrate the multi-dimensional scoring results to obtain the comprehensive adaptation score of each link, and generate statistical data of the overall charging link adaptation score. S444. Sort and organize the statistical data of the adaptation scores of the entire charging link, and complete the link calling order in descending order of scores, solidify the calling arrangement order of all links, and generate charging link calling priority sequence data.

8. The wireless reverse charging method for a power bank according to claim 7, characterized in that, S443 includes: Retrieve the single-dimensional scoring results data corresponding to each charging link, standardize and regulate the scoring accuracy and data format of different evaluation dimensions, eliminate the calculation deviation caused by the difference in numerical magnitude between dimensions, and generate a standardized single-dimensional scoring dataset. Preset fixed weight ratio coefficients for each evaluation dimension, and match the weight ratio of each dimension with the working condition adaptation requirements of wireless reverse charging to complete the corresponding binding of weight coefficients and standardized single-dimensional scoring data. A weighted iterative calculation is performed on each link of the scoring data with bound weight coefficients. The weighted values ​​of each dimension are accumulated and the comprehensive scoring result of a single charging link is obtained. The comprehensive scoring results of all charging links are collected to complete the overall data aggregation and collection, the output format of all link scoring data is standardized, and statistical data on the overall charging link adaptation score is generated.

9. The wireless reverse charging method for a power bank according to claim 1, characterized in that, The S5 includes: S51. According to the predetermined arrangement of the priority sequence data of the charging link, the internal power distribution switch array and multi-channel resonant drive hardware channel resources of the power bank are called in sequence, and the idle hardware channels are closed one by one to eliminate energy crosstalk interference between channels. S52. Allocate dedicated power output hardware channels and digital control bandwidth resources for each charging link to be activated in the sequence, set the upper limit of bandwidth occupation for each channel to prevent bandwidth resource squeezing during the operation of multiple links, and generate pre-allocation data for charging paths after the resource allocation is completed. S53. Perform no-load continuity test on each hardware path recorded in the pre-allocated data of the charging path, verify multiple hardware operation indicators such as path voltage conduction stability, resonant circuit response speed, and bandwidth transmission smoothness, identify hidden continuity fault points inside the path, and complete path fine-tuning and correction. S54. Simultaneously complete the initialization and calibration of all allocated channel hardware parameters, uniformly latch the predetermined operating parameter values ​​of each channel, and after all hardware channels reach the operating state of being able to stably output wireless energy, output a multi-link parallel charging ready signal that can be retrieved and identified by the main control unit.

10. A power bank, characterized in that, The power bank includes: One or more processors; Memory, used to store one or more programs; Wherein, when the one or more programs are executed by the one or more processors, the one or more processors implement the method of any one of claims 1 to 9.

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