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:
Oct. 16, 2018

Filed:

Oct. 20, 2016
Applicants:

Deqiang Wang, Hamilton, CA;

Pawel Malysz, Shelby Township, MI (US);

Hong Yang, Rochester Hills, MI (US);

Ali Emadi, Burlington, CA;

Inventors:

Deqiang Wang, Hamilton, CA;

Pawel Malysz, Shelby Township, MI (US);

Hong Yang, Rochester Hills, MI (US);

Ali Emadi, Burlington, CA;

Assignees:

FCA US LLC, Auburn Hills, MI (US);

MCMASTER UNIVERSITY, Hamilton, Ontario, CA;

Attorney:
Int. Cl.
CPC ...
B60W 20/13 (2016.01); H01M 10/48 (2006.01); B60W 10/06 (2006.01); B60W 10/08 (2006.01); B60L 11/00 (2006.01);
U.S. Cl.
CPC ...
B60W 20/13 (2016.01); B60W 10/06 (2013.01); B60W 10/08 (2013.01); H01M 10/48 (2013.01); H01M 10/486 (2013.01); B60W 2510/244 (2013.01); H01M 2220/20 (2013.01); Y10S 903/93 (2013.01);
Abstract

A battery management system for an electrified powertrain of a hybrid vehicle includes one or more sensors configured to measure voltage, current, and temperature for a battery system of the hybrid vehicle and a controller. The controller is configured to obtain an equivalent circuit model for the battery system, determine a set of states for the battery system to be estimated, determine a set of parameters for the battery system to be estimated, receive, from the sensor(s), the measured voltage, current, and temperature for the battery system, using the equivalent circuit model and the measured voltage, current, and temperature of the battery system, estimate the sets of states and parameters for the battery system using a mixed sigma-point Kalman filtering (SPKF) and recursive least squares (RLS) technique, and using the sets of estimated states/parameters for the battery system, control an electric motor of the electrified vehicle.


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