Samsung Electronics Co., Ltd.

Sungkyunkwan University

Seongjin Oh

Jaeseok Park

Dongin Kim

Chongmin Lee

Sungku Yeo

Kangyoon Lee

Imran Ali

Solhee In

Kwangtae Kim

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.

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

Growing community of inventors

Suwon-si, South Korea

Seongjin Oh