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:
Aug. 23, 2022

Filed:

Feb. 27, 2020
Applicant:

Dell Products, L.p., Round Rock, TX (US);

Inventors:

Nikhil Manohar Vichare, Austin, TX (US);

Michael Nechay, Austin, TX (US);

Richard C. Thompson, Cedar Park, TX (US);

Tyler Ryan Cox, Austin, TX (US);

Assignee:

Dell Products, L.P., Round Rock, TX (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 1/00 (2006.01); G06F 1/28 (2006.01); G06N 5/04 (2006.01); G06N 20/00 (2019.01); H02J 7/00 (2006.01); G06F 1/30 (2006.01);
U.S. Cl.
CPC ...
G06F 1/28 (2013.01); G06N 5/04 (2013.01); G06N 20/00 (2019.01); H02J 7/0047 (2013.01); G06F 1/30 (2013.01);
Abstract

The measured capacity of a rechargeable battery provides the full charge capacity of the battery, but does not reflect degradation of the battery capacity between measurements. Embodiments initiate a first measurement of a rechargeable battery capacity. Parameters of use of the rechargeable battery are monitored, such as the depth and number of discharge cycles of the battery. Until a second capacity measurement is initiated, a battery capacity correction factor is generated based on the monitored parameters of the use of the rechargeable battery. During this interval until the second measurement, a remaining available capacity of the rechargeable battery is reported based on an adjustment of the first capacity measurement using the generated correction factor. The correction factor for a particular battery may be based on learned battery degradation for a large number of batteries and also based on events and conditions of use of that particular battery.


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