The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jan. 03, 2017

Filed:

May. 09, 2013
Applicant:

Texas Instruments Incorporated, Dallas, TX (US);

Inventors:

Eric Gregory Oettinger, Rochester, MN (US);

Vladimir Alexander Muratov, Manchester, NH (US);

Ravindra Krishna Patil, Plano, TX (US);

Kalyan Siddabattula, Plano, TX (US);

William Ford Waters, III, Portland, OR (US);

Assignee:
Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
H01F 38/00 (2006.01); H01F 38/14 (2006.01); H02J 7/00 (2006.01); H02J 7/02 (2016.01);
U.S. Cl.
CPC ...
H01F 38/14 (2013.01); H02J 7/0029 (2013.01); H02J 7/025 (2013.01);
Abstract

Example embodiments of the systems and methods of reduction of parasitic losses in a wireless power system disclosed herein provide a practical means of accurately estimating parasitic losses in a wireless power transfer system irrespective of coupling. Such systems and methods may be used to generate an equation which predicts parasitic losses in a wireless power system. In an offset case, in which the transmitter and receiver are not directly coupled, losses associated with the recirculating current in the primary LC tank dominate the loss, and the transmitted power may be better estimated by measuring the power inputs, power outputs, and injected losses in a controlled environment; making a mathematical fit to an equation, which from the various power measurements and injected loss, predicts the expected transmitter losses; and then, in an operational environment, using the equation to predict parasitic losses based on the power inputs, power outputs and expected loss equation.


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