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:
Feb. 21, 2017

Filed:

Mar. 12, 2013
Applicant:

GM Global Technology Operations Llc, Detroit, MI (US);

Inventors:

Patrick Frost, Novi, MI (US);

Brian J. Koch, Berkley, MI (US);

Damon R. Frisch, Troy, MI (US);

Brett B. Stawinski, Royal Oak, MI (US);

Patricia M. Laskowsky, Ann Arbor, MI (US);

Kurt M. Johnson, Brighton, MI (US);

Robert C. Baraszu, Dearborn, MI (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01R 31/36 (2006.01); B60L 3/00 (2006.01); B60L 11/00 (2006.01); B60L 11/18 (2006.01); H01M 10/48 (2006.01);
U.S. Cl.
CPC ...
G01R 31/3606 (2013.01); B60L 3/0038 (2013.01); B60L 3/0046 (2013.01); B60L 11/005 (2013.01); B60L 11/1857 (2013.01); B60L 11/1861 (2013.01); G01R 31/3624 (2013.01); G01R 31/3644 (2013.01); G01R 31/3651 (2013.01); B60L 2240/545 (2013.01); B60L 2240/547 (2013.01); B60L 2240/549 (2013.01); B60L 2240/80 (2013.01); H01M 10/486 (2013.01); Y02T 10/7005 (2013.01); Y02T 10/705 (2013.01); Y02T 10/7022 (2013.01); Y02T 10/7044 (2013.01);
Abstract

Adaptive estimation techniques to create a battery state estimator to estimate power capabilities of the battery pack in a vehicle. The estimator adaptively updates circuit model parameters used to calculate the voltage states of the ECM of a battery pack. The adaptive estimation techniques may also be used to calculate a solid-state diffusion voltage effects within the battery pack. The adaptive estimator is used to increase robustness of the calculation to sensor noise, modeling error, and battery pack degradation.


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