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.
Patent No.:
Date of Patent:
May. 21, 2019
Filed:
Jul. 29, 2016
Utah State University, North Logan, UT (US);
Ford Global Technologies, Llc, Dearborn, MI (US);
Alliance for Sustainable Energy, Llc, Golden, CO (US);
The Regents of the University of Colorado, a Body, Denver, CO (US);
Michael Scott Trimboli, Colorado Springs, CO (US);
Gregory L. Plett, Colorado Springs, CO (US);
Regan A. Zane, North Logan, UT (US);
Kandler Smith, Golden, CO (US);
Dragan Maksimovic, Boulder, CO (US);
Michael Evzelman, Logan, UT (US);
Daniel Costinett, Knoxville, TN (US);
Richard Dyche Anderson, Plymouth, MI (US);
Utah State University, Logan, Cache County, UT (US);
Abstract
An apparatus for model predictive control ('MPC') is disclosed. A method and system also perform the functions of the apparatus. The apparatus includes a measurement module that receives battery status information from one or more sensors receiving information from a battery cell, and a Kalman filter module that uses a Kalman filter and the battery status information to provide a state estimate vector. The apparatus includes a battery model module that inputs the state estimate vector and battery status information into a battery model and calculates a battery model output, the battery model representing the battery cell, and an MPC optimization module that inputs one or more battery model outputs and an error signal in a model predictive control algorithm to calculate an optimal response. The optimal response includes a modification of the error signal.