Method, electronic device, and storage medium for performing adaptive impedance matching

US11862995B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-11862995-B2
Application numberUS-202117448256-A
CountryUS
Kind codeB2
Filing dateSep 21, 2021
Priority dateMar 29, 2019
Publication dateJan 2, 2024
Grant dateJan 2, 2024

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  4. Key dates

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  5. First independent claim

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  7. Citations and related patents

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Abstract

Official abstract text for this publication.

The present disclosure relates to an artificial intelligence (AI) system which simulates functions such as cognition, judgment, and the like of the human brain by utilizing machine learning algorithms such as deep learning and the like, and to an application thereof. According to various embodiments, an electronic device may comprise: a first impedance matching circuit configured to perform a first impedance matching on a power signal wirelessly received from a wireless power transmission device; a second impedance matching circuit configured to perform a second impedance matching on the first impedance-matched power signal using any one impedance value among a plurality of impedance values; a control circuit configured to perform control to change an impedance value of the second impedance matching circuit to an impedance value learned using an impedance matching network model, corresponding to a power and a frequency of the second impedance-matched power signal; and a power conversion circuit configured to convert a second impedance-matched power signal in an AC form into a power in a DC form for charging a battery according to the changed impedance value.

First claim

Opening claim text (preview).

What is claimed is: 1. An electronic device comprising: a first impedance matching circuit configured to perform first impedance matching on a power signal wirelessly received from a wireless power transmission device; a second impedance matching circuit configured to perform second impedance matching on the first impedance-matched power signal using one of a plurality of impedance values; a control circuit configured to perform control to change an impedance value of the second impedance matching circuit to an impedance value learned using an impedance matching network model in accordance with a power and a frequency of the second impedance-matched power signal; and a power conversion circuit configured to convert the second impedance-matched power signal in an AC form into a power in a DC form for a battery according to the changed impedance value, wherein the impedance matching network model is configured to sequentially acquire second impedance-matched power signals using the plurality of impedance values, identify a maximum power signal among the second impedance-matched power signals based on a comparison between powers of the second impedance-matched power signals, and change the impedance value of the second impedance matching circuit to the learned impedance value, which is an impedance value corresponding to the maximum power signal, among the plurality of impedance values. 2. The electronic device of claim 1 , wherein the second impedance matching circuit comprises a plurality of circuits corresponding to the plurality of respective impedance values, and the plurality of circuits comprise at least one capacitor and at least one switch configured to switch a short circuit of the at least one capacitor. 3. The electronic device of claim 1 , wherein the impedance value learned using the impedance matching network model comprises an impedance value causing a maximum power of another power signal for a detected frequency among the plurality of impedance values, based on detection of a power and the frequency of the another power signal output from the second impedance matching circuit. 4. The electronic device of claim 1 , wherein the control circuit is configured to perform control to detect power and a frequency of the second impedance-matched power signal in an input terminal of the power conversion circuit, identify an impedance value corresponding to the detected power and frequency using the impedance matching network model, and change the impedance value of the second impedance matching circuit to the identified impedance value. 5. The electronic device of claim 1 , wherein the control circuit comprises: a power detection circuit configured to detect an input power between an output terminal of the second impedance matching circuit and an input terminal of the power conversion circuit and an output power in an output terminal of the power conversion circuit; and a frequency detection circuit configured to detect a frequency between the output terminal of the second impedance matching circuit and the input terminal of the power conversion circuit. 6. The electronic device of claim 1 , wherein the power conversion circuit comprises an RF-DC converter configured to convert the second impedance-matched power signal in the AC form to the DC form according to the changed impedance value. 7. The electronic device of claim 6 , wherein the power conversion circuit further comprises a regulator configured to rectify a power signal in a DC form output from the RF-DC converter to a voltage for the battery. 8. An electronic device comprising: an antenna configured to wirelessly receive a power signal; an impedance matching circuit configured to perform impedance matching on the power signal using one of a plurality of impedance values; at least one processor; and a memory, wherein the memory stores instructions configured to, when executed, cause the at least one processor to perform control to change an impedance value of the impedance matching circuit to an impedance value learned using an impedance matching network model in accordance with a power and a frequency of the impedance-matched power signal, wherein the impedance matching network model is configured to sequentially acquire second impedance-matched power signals using the plurality of impedance values, identify a maximum power signal among the second impedance-matched power signals, based on a comparison between powers of the second impedance-matched power signals, and change the impedance value of the impedance matching circuit to the learned impedance value, which is an impedance value corresponding to the maximum power signal, among the plurality of impedance values. 9. The electronic device of claim 8 , further comprising a power conversion circuit configured to convert an impedance-matched power signal in an AC form to a power in a DC form for a battery according to the changed impedance value. 10. The electronic device of claim 8 , wherein the impedance matching circuit comprises a plurality of circuits corresponding to the plurality of impedance values, and the plurality of circuits comprise at least one capacitor and at least one switch configured to switch a short circuit of the at least one capacitor. 11. The electronic device of claim 8 , wherein the impedance value leaned using the impedance matching network model comprises an impedance value causing a maximum power of another power signal for a detected frequency among the plurality of impedance values, based on detection of a power and the frequency of the another power signal output from the second impedance matching circuit. 12. The electronic device of claim 9 , wherein the instructions, when executed, cause the at least one processor to: detect an input power between an output terminal of the impedance matching circuit and an input terminal of the power conversion circuit and an output power in an output terminal of the power conversion circuit and detect a frequency between the output terminal of the impedance matching circuit and the input terminal of the power conversion circuit. 13. A method for performing adaptive impedance matching by an electronic device, the method comprising; performing first impedance matching on a wirelessly received power signal through a first impedance matching circuit; performing second impedance matching on the first impedance-matched power signal through a second impedance matching circuit using one of a plurality of impedance values; controlling to change an impedance value of the second impedance matching circuit to an impedance value learned using an impedance matching network model in accordance with a power and a frequency of the second impedance-matched power signal; and converting a second impedance-matched power signal in an AC form to a power in a DC form for a battery according to the changed impedance value, wherein the impedance matching network model is configured to sequentially acquire second impedance-matched power signals using the plurality of impedance values, identify a high power signal among the second impedance-matched power signals based on a comparison between powers of the second impedance-matched power signals, and change the impedance value of the second impedance matching circuit to the learned impedance value, which is an impedance value corresponding to the high power signal, among the plurality of impedance values.

Assignees

Inventors

Classifications

  • Convolutional networks [CNN, ConvNet] · CPC title

  • H02J50/90Primary

    involving detection or optimisation of position, e.g. alignment · CPC title

  • Combinations of networks · CPC title

  • Machine learning · CPC title

  • involving the exchange of data, concerning supply or distribution of electric power, between transmitting devices and receiving devices · CPC title

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Frequently asked questions

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What does patent US11862995B2 cover?
The present disclosure relates to an artificial intelligence (AI) system which simulates functions such as cognition, judgment, and the like of the human brain by utilizing machine learning algorithms such as deep learning and the like, and to an application thereof. According to various embodiments, an electronic device may comprise: a first impedance matching circuit configured to perform a f…
Who is the assignee on this patent?
Samsung Electronics Co Ltd, Research & Business Found Sungkyunkwan Univ
What technology area does this patent fall under?
Primary CPC classification H02J50/90. Mapped technology areas include Electricity.
When was this patent published?
Publication date Tue Jan 02 2024 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 5 related publications on this page (citations in our corpus or others sharing the same primary CPC).