Foreign matter detection method and foreign matter detection device for wireless charging and wireless charging system

Abstract

The invention provides a foreign matter detection method for wireless charging, a foreign matter detection device and a wireless charging system. The specific implementation scheme is as follows: determining a first sweep frequency range according to the current resonant frequency of the parallel resonant network; based on the first frequency sweep range, performing frequency sweep on the parallel resonance network by using a frequency sweep signal generator, and determining an actual impedance frequency curve at the current detection moment; determining a predicted impedance frequency curve at the current detection moment according to historical foreign matter detection data; and comparing an actual extreme point of the first high-order function corresponding to the actual impedance frequency curve with a predicted extreme point of the second high-order function corresponding to the predicted impedance frequency curve, and determining whether foreign matters exist in the transmitting coil of the wireless charging system at the current detection moment or not according to a comparison result. According to the scheme disclosed by the invention, the robustness of foreign matter detection during wireless charging can be improved, and small foreign matters can be accurately detected.

Description

Technical Field

[0001] The present disclosure relates to the technical field of wireless charging, and in particular to a foreign object detection method, a foreign object detection device and a wireless charging system for wireless charging. Background Art

[0002] Wireless charging technology, also known as wireless energy transmission technology, is a technology that transmits electrical energy wirelessly. It does not require the use of traditional power cords and chargers. As long as the power-consuming object (for example, a car, smart home appliance, industrial equipment) is in the charging area, it can automatically obtain charging energy. Summary of the invention

[0003] The present disclosure provides a foreign object detection method, a foreign object detection device and a wireless charging system for wireless charging to solve or alleviate one or more technical problems in the prior art.

[0004] In one aspect, the present disclosure provides a foreign object detection method for wireless charging, which is applied to a wireless charging system, comprising:

[0005] Determining a first frequency sweep range according to a current resonant frequency of the parallel resonant network;

[0006] Based on the first frequency sweep range, the parallel resonant network is swept by a frequency sweep signal generator to determine an actual impedance frequency curve at the current detection moment;

[0007] Determine the predicted impedance frequency curve at the current detection moment based on historical foreign body detection data;

[0008] The actual extreme point of the first high-order function corresponding to the actual impedance frequency curve is compared with the predicted extreme point of the second high-order function corresponding to the predicted impedance frequency curve, and it is determined whether there is a foreign object in the transmitting coil of the wireless charging system at the current detection moment according to the comparison result.

[0009] In another aspect, the present disclosure provides a foreign body detection device, comprising:

[0010] A first determining module, configured to determine a first frequency sweep range according to a current resonant frequency of the parallel resonant network;

[0011] A second determination module is used to perform a frequency sweep on the parallel resonant network using a frequency sweep signal generator based on the first frequency sweep range to determine an actual impedance frequency curve at a current detection moment;

[0012] A third determination module is used to determine the predicted impedance frequency curve at the current detection moment based on the historical foreign body detection data;

[0013] The detection module is used to compare the actual extreme point of the first high-order function corresponding to the actual impedance frequency curve with the predicted extreme point of the second high-order function corresponding to the predicted impedance frequency curve, and determine whether there is a foreign object in the transmitting coil of the wireless charging system at the current detection moment according to the comparison result.

[0014] On the other hand, the present disclosure provides a foreign object detection system, which is applied to a wireless charging system, comprising:

[0015] A parallel resonant network, including a parallel detection coil and a resonant capacitor, wherein the detection coil is arranged at a position corresponding to the position of the transmitting coil of the wireless charging system;

[0016] A sweep frequency signal generator is connected to the parallel resonant network and is used to sweep the frequency of the parallel resonant network;

[0017] A control unit is connected to the parallel resonant network and is used to execute the method of any embodiment of the present disclosure.

[0018] In another aspect, the present disclosure provides a wireless charging system, comprising:

[0019] A transmitting coil is used to transmit electrical energy to a receiving coil of an object using electricity;

[0020] A controller, connected to the transmitting coil, for controlling the start and stop of the transmitting coil;

[0021] In the foreign object detection system of the embodiment of the present disclosure, the detection coil of the parallel resonant network is set at a position corresponding to the position of the transmitting coil, and the control unit is connected to the controller.

[0022] In another aspect, the present disclosure provides an electronic device, comprising:

[0023] At least one processor. And

[0024] A memory in communication with the at least one processor.

[0025] The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute the method of any embodiment of the present disclosure.

[0026] On the other hand, the present disclosure provides a non-transitory computer-readable storage medium storing computer instructions, wherein the computer instructions are used to cause the computer to execute the method according to any embodiment of the present disclosure.

[0027] On the other hand, the present disclosure provides a computer program product, including a computer program, which implements the method according to any embodiment of the present disclosure when executed by a processor.

[0028] According to the solution of the present disclosure, the robustness of foreign object detection during wireless charging can be improved, and accurate detection of small foreign objects can be achieved.

[0029] It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present disclosure, nor is it intended to limit the scope of the present disclosure. Other features of the present disclosure will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] In the accompanying drawings, unless otherwise specified, the same reference numerals throughout the multiple drawings represent the same or similar parts or elements. These drawings are not necessarily drawn to scale. It should be understood that these drawings only depict some embodiments provided according to the present disclosure and should not be regarded as limiting the scope of the present disclosure.

[0031] Figure 1 It is a flow chart of a foreign object detection method for wireless charging according to an embodiment of the present disclosure.

[0032] Figure 2 is a schematic diagram of an application of a foreign object detection method for wireless charging according to an embodiment of the present disclosure.

[0033] Figure 3 is a schematic diagram of an impedance frequency curve according to an embodiment of the present disclosure.

[0034] Figure 4 is a schematic structural diagram of a foreign object detection device according to an embodiment of the present disclosure.

[0035] Figure 5 is a structural schematic diagram of a foreign object detection system according to an embodiment of the present disclosure.

[0036] Figure 6 is a schematic structural diagram of a wireless charging system according to an embodiment of the present disclosure.

[0037] Figure 7 The block diagram is a block diagram of an electronic device for implementing the foreign object detection method for wireless charging according to an embodiment of the present disclosure. DETAILED DESCRIPTION

[0038] The present disclosure will be further described in detail below with reference to the accompanying drawings. The same reference numerals in the accompanying drawings represent elements with the same or similar functions. Although various aspects of the embodiments are shown in the accompanying drawings, the drawings are not necessarily drawn to scale unless otherwise specified.

[0039] In addition, in order to better illustrate the present disclosure, numerous specific details are given in the following specific embodiments. It should be understood by those skilled in the art that the present disclosure can also be implemented without certain specific details. In some examples, methods, means, components and circuits well known to those skilled in the art are not described in detail in order to highlight the main purpose of the present disclosure.

[0040] like Figure 1 As shown, the embodiment of the present disclosure provides a foreign object detection method for wireless charging, which is applied to a wireless charging system, including:

[0041] Step S101: determining a first frequency sweep range according to the current resonant frequency of the parallel resonant network.

[0042] Step S102: Based on the first frequency sweep range, a frequency sweep signal generator is used to sweep the parallel resonant network to determine an actual impedance frequency curve at the current detection moment.

[0043] Step S103: Determine the predicted impedance frequency curve at the current detection moment according to the historical foreign body detection data.

[0044] Step S104: Compare the actual extreme point of the first high-order function corresponding to the actual impedance frequency curve with the predicted extreme point of the second high-order function corresponding to the predicted impedance frequency curve, and determine whether there is a foreign object in the transmitting coil of the wireless charging system at the current detection moment according to the comparison result.

[0045] According to the embodiments of the present disclosure, it should be noted that:

[0046] The method of the embodiment of the present disclosure is mainly applied to the wireless charging system of a vehicle, such as Figure 2 As shown, the wireless charging system includes a transmitting coil 200 and a receiving coil 500. The transmitting coil 200 is used to transmit the power supplied by the power source 300 to the receiving coil 500 in the vehicle 400, and the receiving coil 500 transmits the power to the battery 600 in the vehicle 400, thereby charging the battery 600. The detection coil 100 of the parallel resonant network is connected to the transmitting coil 200, and the setting position of the detection coil 100 corresponds to the setting position of the transmitting coil 200. By using the foreign object detection method for wireless charging of the embodiment of the present disclosure, the actual impedance frequency curve and the predicted impedance frequency curve of the detection coil 100 can be obtained by frequency scanning, and then based on the two impedance frequency curves, it is judged whether there is a foreign object on the transmitting coil corresponding to the detection coil 100.

[0047] The parallel resonant network may be any parallel resonant network used by any wireless charging system in the prior art, and is not specifically limited here.

[0048] The current resonant frequency can be understood as the actual resonant frequency of the parallel resonant network measured by a frequency sweep method.

[0049] The first frequency sweep range covers the current resonant frequency, that is, the current resonant frequency is between the maximum and minimum values ​​of the first frequency sweep range. The first frequency sweep range can be around the current resonant frequency, and the specific first frequency sweep range can be selected as needed and is not specifically limited here.

[0050] The historical foreign body detection data can be understood to include the impedance frequency curve at the last detection moment and the last multiple detection moments, and the offset of the impedance frequency curve at any two adjacent detection moments in the last multiple detection moments. The offset can include the offset value of the frequency on the horizontal axis and the impedance value on the vertical axis of the impedance frequency curve.

[0051] The actual impedance frequency curve can be understood as the impedance frequency curve of the transmitting coil of the wireless charging system obtained by fitting according to the data obtained by the current frequency sweep. The predicted impedance frequency curve can be understood as the impedance frequency curve of the transmitting coil of the wireless charging system when there is no foreign matter obtained by predicting according to the data obtained by the historical frequency sweep. Figure 3 As shown, the high-order curve shown by the black dotted line can be understood as the predicted impedance frequency curve, and the high-order curve shown by the gray solid line can be understood as the actual impedance frequency curve. When the offset of the extreme point of the high-order function corresponding to the two curves (i.e., the offset of the horizontal and vertical coordinates) exceeds the threshold, it is considered that there is a foreign object on the transmitting coil module.

[0052] According to the technology of the embodiment of the present disclosure, the robustness of foreign object detection during wireless charging can be improved, and the influence of external environment changes on foreign object detection during wireless charging can be solved. At the same time, since the first frequency sweep range is near the current resonant frequency, and the actual impedance frequency curve obtained by the first frequency sweep range needs to be compared with the predicted impedance frequency curve, the final foreign object detection result can be more accurate, and accurate detection of small foreign objects can be achieved.

[0053] In one embodiment, the foreign object detection method for wireless charging of the embodiment of the present disclosure includes steps S101 to S104, wherein, before step S101: determining the first frequency sweep range according to the current resonant frequency of the parallel resonant network, the method further includes:

[0054] A second frequency sweep range is determined according to a theoretical resonant frequency of the parallel resonant network, wherein the second frequency sweep range is greater than the first frequency sweep range.

[0055] Based on the second frequency sweep range, the parallel resonant network is swept by using a frequency sweep signal generator to determine a current resonant frequency of the parallel resonant network.

[0056] According to the embodiments of the present disclosure, it should be noted that:

[0057] The second frequency sweep range covers the theoretical resonant frequency, that is, the theoretical resonant frequency is between the maximum value and the minimum value of the second frequency sweep range.

[0058] According to the technology of the embodiment of the present disclosure, the actual resonant frequency (ie, the current resonant frequency) of the detection coil of the parallel resonant network at the current detection moment can be accurately obtained.

[0059] In one example, assuming that the theoretical resonant frequency of the parallel resonant network is 400 khz (kilohertz), the second frequency sweep range may be 300 khz-500 khz. When the current resonant frequency of the parallel resonant network is determined to be 410 khz based on the second frequency sweep range, the first frequency sweep range may be 405 khz-415 khz.

[0060] In one embodiment, the foreign object detection method for wireless charging of the embodiment of the present disclosure includes steps S101 to S104, wherein step S102: based on the first sweep frequency range, using a sweep frequency signal generator to sweep the parallel resonant network to determine the actual impedance frequency curve at the current detection time, including:

[0061] Based on the first frequency sweep range, a plurality of frequency sweep points are determined.

[0062] According to the frequencies corresponding to the multiple frequency sweep points, the parallel resonant network is swept by using a frequency sweep signal generator to obtain multiple impedance values.

[0063] According to the multiple frequency sweep points and the multiple impedance values, the actual impedance frequency curve at the current detection moment is determined.

[0064] According to the actual impedance frequency curve, the actual extreme point of the corresponding first high-order function is determined.

[0065] According to the embodiments of the present disclosure, it should be noted that:

[0066] The frequency sweep point can be understood as the frequency that needs to be swept.

[0067] Multiple frequency sweep points correspond to multiple impedance values ​​one by one.

[0068] The actual impedance frequency curve is obtained by fitting based on multiple frequency sweep points and multiple impedance values.

[0069] The actual impedance frequency curve can be plotted based on the first higher-order function.

[0070] According to the technology of the embodiment of the present disclosure, the robustness of foreign object detection during wireless charging is improved, and the influence of external environment changes on foreign object detection during wireless charging is solved. At the same time, since the first frequency sweep range is near the current resonant frequency, and the actual impedance frequency curve obtained by the first frequency sweep range needs to be compared with the predicted impedance frequency curve, the final foreign object detection result can be more accurate, and accurate detection of small foreign objects can be achieved.

[0071] In one embodiment, the foreign object detection method for wireless charging of the embodiment of the present disclosure includes steps S101 to S104, wherein step S103: determining a predicted impedance frequency curve at the current detection moment according to historical foreign object detection data, includes:

[0072] Based on the historical foreign body detection data, the historical impedance frequency curve at the last detection moment is determined.

[0073] According to the historical foreign body detection data, the change data between the historical impedance frequency curves at the last multiple detection moments are determined.

[0074] According to the historical impedance frequency curve and the variation data at the previous detection moment, the impedance frequency curve at the current detection moment is predicted to obtain the predicted impedance frequency curve.

[0075] The historical impedance frequency curve is an impedance frequency curve obtained when there is no foreign matter on the transmitting coil of the wireless charging system.

[0076] According to the embodiments of the present disclosure, it should be noted that:

[0077] The previous detection time can be understood as the detection time before the current detection time. For example, if the current detection time occurs at the 10th second after the wireless charging system is started, then the previous detection time occurs at the 8th second after the wireless charging system is started. The specific cyclic detection frequency of foreign object detection can be selected and adjusted as needed.

[0078] The previous multiple detection moments can be understood as the previous multiple detection moments before the current detection moment. For example, if the current detection moment occurs at the 10th second after the wireless charging system is started, the previous multiple detection moments include the 4th, 6th, and 8th seconds after the wireless charging system is started.

[0079] The variation data can be understood as the variation between the extreme points of the higher-order function corresponding to two historical impedance-frequency curves adjacent in time, or the variation of the horizontal and vertical coordinates of the two historical impedance-frequency curves. The horizontal coordinate represents the frequency, and the vertical coordinate represents the impedance value. For example, according to the first variation data of the impedance-frequency curve at the 4th and 6th seconds after the wireless charging system is started in the previous multiple detection moments, and the second variation data of the impedance-frequency curve at the 6th and 8th seconds, the variation data used for prediction is determined. Then, based on the historical impedance-frequency curve at the previous detection moment and the variation data used for prediction, the predicted impedance-frequency curve at the current detection moment is predicted.

[0080] The last detection time and the last multiple detection times are all detection times when there is no foreign object in the transmitting coil, that is, the historical foreign object detection data when there is no foreign object in the transmitting coil is used to predict the predicted impedance frequency curve when there is no foreign object in the transmitting coil at the current detection time.

[0081] According to the technology of the embodiment of the present disclosure, the predicted impedance frequency curve when there is no foreign object on the transmitting coil at the current detection moment can be accurately predicted by using the change data obtained at multiple detection moments and the historical impedance frequency curve at the previous detection moment, so that the predicted impedance frequency curve can be used as a reference for comparison with the actual impedance frequency curve, thereby determining whether there is a foreign object on the transmitting coil at the current detection moment.

[0082] In one embodiment, the foreign object detection method for wireless charging of the embodiment of the present disclosure includes steps S101 to S104, wherein step S104: comparing the actual extreme point of the first high-order function corresponding to the actual impedance frequency curve with the predicted extreme point of the second high-order function corresponding to the predicted impedance frequency curve, and determining whether there is a foreign object in the transmitting coil of the wireless charging system at the current detection time according to the comparison result, including:

[0083] Compare the actual extreme value point of the first high-order function corresponding to the actual impedance frequency curve with the predicted extreme value point of the second high-order function corresponding to the predicted impedance frequency curve to obtain a comparison result;

[0084] The comparison result is compared with the threshold offset to determine whether there is a foreign object in the transmitting coil of the wireless charging system at the current detection moment.

[0085] According to the embodiments of the present disclosure, it should be noted that:

[0086] According to the comparison between the actual extreme point and the predicted extreme point, the offset (ie, the comparison result) between the actual impedance frequency curve and the predicted impedance frequency curve on the abscissa representing the frequency and the ordinate representing the impedance value can be determined.

[0087] The comparison result is compared with the threshold offset to determine whether there is a foreign object on the transmitting coil of the wireless charging system at the current detection moment. It can be understood that when the comparison result does not meet the threshold offset requirement, it is determined that there is a foreign object on the transmitting coil at the current detection moment.

[0088] According to the technology of the embodiments of the present disclosure, by comparing the first high-order function corresponding to the actual impedance frequency curve with the second high-order function corresponding to the predicted impedance frequency curve, it is possible to accurately determine whether there is foreign matter on the transmitting coil of the wireless charging system.

[0089] In one example, the foreign object detection method for wireless charging, in step S104: comparing the actual extreme point of the first high-order function corresponding to the actual impedance frequency curve with the predicted extreme point of the second high-order function corresponding to the predicted impedance frequency curve, and determining whether there is a foreign object in the transmitting coil of the wireless charging system at the current detection time according to the comparison result, and then further comprising:

[0090] When it is determined according to the comparison result that there is no foreign object on the transmitting coil, the actual impedance frequency curve at the current detection moment and its corresponding data are stored as new historical foreign object detection data;

[0091] When the transmitting coil is tested for foreign matter at the next testing moment, the new historical foreign matter detection data is used as the historical impedance frequency curve of the previous testing moment of the next testing moment to predict the next testing moment and obtain the predicted impedance frequency curve of the next testing moment.

[0092] like Figure 4 As shown, the embodiment of the present disclosure provides a foreign body detection device, comprising:

[0093] The first determination module 410 is configured to determine a first frequency sweep range according to a current resonant frequency of the parallel resonant network.

[0094] The second determination module 420 is used to perform a frequency sweep on the parallel resonant network using a frequency sweep signal generator based on the first frequency sweep range to determine an actual impedance frequency curve at a current detection moment.

[0095] The third determination module 430 is used to determine the predicted impedance frequency curve at the current detection moment according to the historical foreign body detection data.

[0096] The detection module 440 is used to compare the actual extreme point of the first high-order function corresponding to the actual impedance frequency curve with the predicted extreme point of the second high-order function corresponding to the predicted impedance frequency curve, and determine whether there is a foreign object in the transmitting coil of the wireless charging system at the current detection time according to the comparison result.

[0097] In one embodiment, the foreign body detection device further includes:

[0098] The fourth determination module is used to determine a second frequency sweep range according to a theoretical resonant frequency of the parallel resonant network, wherein the second frequency sweep range is greater than the first frequency sweep range.

[0099] The fifth determination module is used to perform a frequency sweep on the parallel resonant network using a frequency sweep signal generator based on the second frequency sweep range to determine a current resonant frequency of the parallel resonant network.

[0100] In one implementation, the second determining module 420 is used to:

[0101] Based on the first frequency sweep range, a plurality of frequency sweep points are determined.

[0102] According to the frequencies corresponding to the multiple frequency sweep points, the parallel resonant network is swept by using a frequency sweep signal generator to obtain multiple impedance values.

[0103] According to the multiple frequency sweep points and the multiple impedance values, the actual impedance frequency curve at the current detection moment is determined.

[0104] According to the actual impedance frequency curve, the actual extreme point of the corresponding first high-order function is determined.

[0105] In one implementation, the third determination module 430 is used to:

[0106] Based on the historical foreign body detection data, the historical impedance frequency curve at the last detection moment is determined.

[0107] According to the historical foreign body detection data, the change data between the historical impedance frequency curves at the last multiple detection moments are determined.

[0108] According to the historical impedance frequency curve and the variation data at the previous detection moment, the impedance frequency curve at the current detection moment is predicted to obtain the predicted impedance frequency curve.

[0109] The historical impedance frequency curve is an impedance frequency curve obtained when there is no foreign matter on the transmitting coil of the wireless charging system.

[0110] In one embodiment, the detection module 440 is used to:

[0111] Compare the actual extreme value point of the first high-order function corresponding to the actual impedance frequency curve with the predicted extreme value point of the second high-order function corresponding to the predicted impedance frequency curve to obtain a comparison result;

[0112] The comparison result is compared with the threshold offset to determine whether there is a foreign object in the transmitting coil of the wireless charging system at the current detection moment.

[0113] For the description of specific functions and examples of each module and submodule of the device in the embodiment of the present disclosure, reference can be made to the relevant description of the corresponding steps in the above method embodiment, which will not be repeated here.

[0114] In the technical solution disclosed herein, the acquisition, storage and application of user personal information involved are in compliance with the provisions of relevant laws and regulations and do not violate public order and good morals.

[0115] like Figure 5 As shown, the embodiment of the present disclosure provides a foreign object detection system, which is applied to a wireless charging system, including:

[0116] The parallel resonant network 510 includes a parallel detection coil 511 and a resonant capacitor 512 . The detection coil is arranged at a position corresponding to the position of the transmitting coil of the wireless charging system.

[0117] The frequency sweep signal generator 520 is connected to the parallel resonant network and is used to sweep the frequency of the parallel resonant network.

[0118] The control unit 530 is connected to the parallel resonant network 510 and the sweep signal generator 520, and is used to execute the foreign object detection method for wireless charging according to any embodiment of the present disclosure.

[0119] According to the embodiments of the present disclosure, it should be noted that:

[0120] The control unit 530 can control the sweep signal generator 520 to sweep the parallel resonant network 510, and execute the foreign object detection method for wireless charging according to the embodiment of the present disclosure according to the impedance value obtained by sweeping the parallel resonant network.

[0121] According to the disclosed embodiment, the robustness of foreign object detection during wireless charging can be improved, and the influence of external environment changes on foreign object detection during wireless charging can be solved. At the same time, since the first frequency sweep range is near the current resonant frequency, and the actual impedance frequency curve obtained by the first frequency sweep range needs to be compared with the predicted impedance frequency curve, the final foreign object detection result can be more accurate, and accurate detection of small foreign objects can be achieved.

[0122] like Figure 6 As shown, the embodiment of the present disclosure provides a wireless charging system, including:

[0123] The transmitting coil 610 is used to transmit electrical energy to the receiving coil 620 of the power-consuming object.

[0124] The controller 630 is connected to the transmitting coil 610 and is used to control the start and stop of the transmitting coil 610 .

[0125] In the foreign object detection system of the embodiment of the present disclosure, the detection coil 511 of the parallel resonant network 510 is arranged at a position corresponding to the position of the transmitting coil 610 , and the control unit 530 is connected to the controller 630 .

[0126] According to the embodiments of the present disclosure, it should be noted that:

[0127] When the control unit 530 detects the presence of foreign matter on the transmitting coil 610 , it sends a warning instruction to the controller 630 so that the controller 630 turns off the charging function of the transmitting coil 610 to avoid the wireless charging system from malfunctioning or the foreign matter burning and damaging the wireless charging system.

[0128] According to the disclosed embodiment, the robustness of foreign object detection during wireless charging can be improved, and the influence of external environment changes on foreign object detection during wireless charging can be solved. At the same time, since the first frequency sweep range is near the current resonant frequency, and the actual impedance frequency curve obtained by the first frequency sweep range needs to be compared with the predicted impedance frequency curve, the final foreign object detection result can be more accurate, and accurate detection of small foreign objects can be achieved.

[0129] Figure 7 FIG. 1 is a structural block diagram of an electronic device according to an embodiment of the present disclosure. Figure 7 As shown, the electronic device includes: a memory 710 and a processor 720, and the memory 710 stores a computer program that can be run on the processor 720. The number of the memory 710 and the processor 720 can be one or more. The memory 710 can store one or more computer programs. When the one or more computer programs are executed by the electronic device, the electronic device executes the method provided by the above method embodiment. The electronic device may also include: a communication interface 730, which is used to communicate with external devices and perform data exchange transmission.

[0130] If the memory 710, the processor 720 and the communication interface 730 are implemented independently, the memory 710, the processor 720 and the communication interface 730 can be connected to each other through a bus and communicate with each other. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 7 Only one thick line is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0131] Optionally, in a specific implementation, if the memory 710, the processor 720 and the communication interface 730 are integrated on a chip, the memory 710, the processor 720 and the communication interface 730 can communicate with each other through an internal interface.

[0132] It should be understood that the processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc. It is worth noting that the processor may be a processor supporting the Advanced RISC Machines (ARM) architecture.

[0133] Further, optionally, the above-mentioned memory may include a read-only memory and a random access memory, and may also include a non-volatile random access memory. The memory may be a volatile memory or a non-volatile memory, or may include both volatile and non-volatile memories. Among them, the non-volatile memory may include a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), or a flash memory. The volatile memory may include a random access memory (RAM), which is used as an external cache. By way of example but not limitation, many forms of RAM are available. For example, static random access memory (SRAM), dynamic random access memory (DRAM), synchronous dynamic random access memory (SDRAM), double data rate synchronous dynamic random access memory (DDR SDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous link dynamic random access memory (SLDRAM) and direct memory bus random access memory (DR RAM).

[0134] In the above embodiments, it can be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented using software, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer instructions are loaded and executed on the computer, the process or function according to the embodiment of the present disclosure is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network or other programmable device. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from a website site, computer, server or data center by wired (for example: coaxial cable, optical fiber, data subscriber line (Digital Subscriber Line, DSL)) or wireless (for example: infrared, Bluetooth, microwave, etc.) mode to another website site, computer, server or data center. The computer-readable storage medium can be any available medium that can be accessed by the computer, or a data storage device such as a server or data center that includes one or more available media integrations. The available medium may be a magnetic medium (e.g., a floppy disk, a hard disk, a magnetic tape), an optical medium (e.g., a digital versatile disc (DVD)), or a semiconductor medium (e.g., a solid state disk (SSD)), etc. It is worth noting that the computer-readable storage medium mentioned in the present disclosure may be a non-volatile storage medium, in other words, a non-transient storage medium.

[0135] A person skilled in the art will understand that all or part of the steps to implement the above embodiments may be accomplished by hardware or by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a disk or an optical disk, etc.

[0136] In the description of the embodiments of the present disclosure, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present disclosure. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, unless they are contradictory.

[0137] In the description of the embodiments of the present disclosure, unless otherwise specified, " / " means or, for example, A / B can mean A or B. "And / or" in this article is only a way to describe the association relationship of associated objects, indicating that there can be three relationships, for example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone.

[0138] In the description of the embodiments of the present disclosure, the terms "first" and "second" are used for descriptive purposes only and are not to be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of the embodiments of the present disclosure, unless otherwise specified, "plurality" means two or more.

[0139] The above description is only an exemplary embodiment of the present disclosure and is not intended to limit the present disclosure. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present disclosure shall be included in the protection scope of the present disclosure.

Claims

1. A foreign body detection method for wireless charging, applied to a wireless charging system, comprising: Determining a first frequency sweep range according to a current resonant frequency of the parallel resonant network; Based on the first sweep frequency range, sweep the parallel resonant network using a sweep frequency signal generator to determine an actual impedance frequency curve at a current detection moment; Determining a predicted impedance frequency curve at the current detection moment according to historical foreign body detection data; The actual extreme point of the first high-order function corresponding to the actual impedance frequency curve is compared with the predicted extreme point of the second high-order function corresponding to the predicted impedance frequency curve, and whether there is a foreign object in the transmitting coil of the wireless charging system at the current detection moment is determined according to the comparison result.

2. The method according to claim 1, wherein: Before determining the first frequency sweep range according to the current resonant frequency of the parallel resonant network, the method further includes: Determining a second frequency sweep range according to a theoretical resonant frequency of the parallel resonant network, wherein the second frequency sweep range is greater than the first frequency sweep range; Based on the second frequency sweep range, the parallel resonant network is swept by using a frequency sweep signal generator to determine a current resonant frequency of the parallel resonant network.

3. The method according to claim 1, wherein: Based on the first frequency sweep range, the parallel resonant network is swept by a frequency sweep signal generator to determine an actual impedance frequency curve at a current detection moment, including: Based on the first frequency sweep range, determining a plurality of frequency sweep points; According to the frequencies corresponding to the multiple frequency sweep points, the parallel resonant network is swept by a frequency sweep signal generator to obtain multiple impedance values; Determining an actual impedance frequency curve at the current detection moment according to the multiple frequency sweeping points and the multiple impedance values; According to the actual impedance frequency curve, the actual extreme point of the corresponding first high-order function is determined.

4. The method according to claim 1, wherein: Determining the predicted impedance frequency curve at the current detection moment according to the historical foreign body detection data includes: According to the historical foreign body detection data, determine the historical impedance frequency curve at the last detection moment; Determine the change data between the historical impedance frequency curves at the last multiple detection moments according to the historical foreign body detection data; Predicting the impedance frequency curve at the current detection moment according to the historical impedance frequency curve at the previous detection moment and the variation data to obtain a predicted impedance frequency curve; The historical impedance frequency curve is an impedance frequency curve obtained when there is no foreign matter on the transmitting coil of the wireless charging system.

5. The method according to claim 1, wherein: Comparing the actual extreme point of the first high-order function corresponding to the actual impedance frequency curve with the predicted extreme point of the second high-order function corresponding to the predicted impedance frequency curve, and determining whether there is a foreign object in the transmitting coil of the wireless charging system at the current detection moment according to the comparison result, comprises: Comparing the actual extreme value point of the first high-order function corresponding to the actual impedance frequency curve with the predicted extreme value point of the second high-order function corresponding to the predicted impedance frequency curve to obtain a comparison result; The comparison result is compared with the threshold offset to determine whether there is a foreign object in the transmitting coil of the wireless charging system at the current detection moment.

6. A foreign body detection device, comprising: A first determining module, configured to determine a first frequency sweep range according to a current resonant frequency of the parallel resonant network; A second determination module is used to perform a frequency sweep on the parallel resonant network using a frequency sweep signal generator based on the first frequency sweep range to determine an actual impedance frequency curve at a current detection moment; A third determination module, used to determine the predicted impedance frequency curve at the current detection moment according to the historical foreign body detection data; The detection module is used to compare the actual extreme point of the first high-order function corresponding to the actual impedance frequency curve with the predicted extreme point of the second high-order function corresponding to the predicted impedance frequency curve, and determine whether there is a foreign object in the transmitting coil of the wireless charging system at the current detection moment according to the comparison result.

7. A foreign body detection system, applied to a wireless charging system, comprising: A parallel resonant network, comprising a parallel detection coil and a resonant capacitor, wherein the detection coil is arranged at a position corresponding to the position of the transmitting coil of the wireless charging system; A sweep frequency signal generator, connected to the parallel resonant network, and used to sweep the frequency of the parallel resonant network; A control unit, connected to the parallel resonant network and the swept frequency signal generator, for executing the method according to any one of claims 1 to 5.

8. A wireless charging system, comprising: A transmitting coil is used to transmit electrical energy to a receiving coil of an object using electricity; A controller, connected to the transmitting coil, for controlling the start and stop of the transmitting coil; The foreign object detection system of claim 7, wherein the detection coil of the parallel resonant network is set at a position corresponding to the position of the transmitting coil, and the control unit is connected to the controller.

9. An electronic device, comprising: at least one processor; as well as a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method according to any one of claims 1 to 5.

10. A non-transitory computer-readable storage medium storing computer instructions, wherein: The computer instructions are used to cause the computer to execute the method according to any one of claims 1 to 5.

11. A computer program product comprising a computer program, which, when executed by a processor, implements the method according to any one of claims 1 to 5.

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