Qnovo Inc.

Finisar Corporation

Lucas Novasensor

Intel Corporation

Leland Stanford Junior University

Kelsey-hayes Company

Ge Novasensor, Inc.

Other

General Electric Corporation Gmbh

Novasensor Inc.

Nadim I Maluf

Fred Berkowitz

Dania Ghantous

Christina Peabody

Wei W Wang

Ping Peter Xie

John R Logan

Edward Nelson Fuller

Richard J Barron

Kirt Williams

R Brad Bettman

Yalan Mao

David Bruce Koons

Miroslav Zmrzli

Simon Yuanxiang Wu

Kurt Edward Petersen

Andrew J Daiber

William B Chapman

Mark C Gurries

Gertjan Van Sprakelaar

Bert P Van Drieenhuizen

Jan Mark Noworolski

Erno Klaasen

Wendell McCulley

Mark E McDonald

Hua Li

R Fabian Pease

Alejandro Dario Farinas

Carter F Hand

Bert P Van Drie&euml;nhuizen

Mark Nathan Gurries

Bert P Van Drieënhuizen

Simon Yuanxinag Wu

Dominik P Jaeggi

Brad R Bettman

The present inventions, in one aspect, are directed to techniques and/or circuitry to applying a charge pulse to the terminals of the battery during a charging operation, measure a plurality of voltages of the battery which are in response to the first charge pulse, determine a charge pulse voltage (CPV) of the battery, wherein the charge pulse voltage is a peak voltage which is in response to the first charge pulse, determine whether the CPV of the battery is within a predetermined range or greater than a predetermined upper limit value and adapt one or more characteristics of a charge packet if the CPV is outside the predetermined range or is greater than a predetermined upper limit value.

Method and circuitry to adaptively charge a battery/cell

Systems and apparatus may carry out analysis of battery physical phenomena, and characterize batteries based on phenomena occurring in particular time and/or frequency domains. These systems may be additionally responsible for charging and/or monitoring a rechargeable battery. Examples of battery physical phenomena include mass transport (e.g., diffusion and/or migration) in battery electrolytes, mass transport in battery electrodes, and reactions on battery electrodes.

Battery adaptive charging

Battery adaptive charging using battery physical phenomena

Batteries and associated charging conditions or other operating conditions are evaluated by a computational model that classifies or characterizes the battery and associated conditions. Such battery model may classify batteries according to any of many different considerations such as whether the conditions are safe or unsafe or whether the conditions are likely to unnecessarily degrade the future performance of the battery. In some cases, the battery model executes while the battery is installed in an electronic device such as a smart phone or a vehicle. In some cases, the battery model executes and provides results (e.g., a classification of the battery) in real time while the battery is installed and being charged.

Battery adaptive charging using a battery model

Disclosed is a method for identifying a battery type and/or a battery user. Measuring circuitry may be used to collect battery parameters that may be analyzed by control circuitry to create an adaptive charge profile that is applied to a battery by charging circuitry. Battery parameters may be recorded in a battery use signature. Logic may be used to process a battery use signature and identify a single user across multiple battery operated devices and/or discriminate between multiple users of a device. In some cases, battery use signature may be used to identify battery information including the make, model, and lot from which the battery was manufactured.

User identification from battery characteristics

Growing community of inventors

Mountain View, CA, United States of America

Nadim I Maluf