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Title: Model predictive control and optimization for battery charging and discharging

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.

Inventors:
; ; ; ; ; ; ;
Issue Date:
Research Org.:
Utah State Univ., Logan, UT (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1568381
Patent Number(s):
10,298,026
Application Number:
15/224,275
Assignee:
Utah State University (Logan, UT)
DOE Contract Number:  
AR0000271
Resource Type:
Patent
Resource Relation:
Patent File Date: 07/29/2016
Country of Publication:
United States
Language:
English

Citation Formats

Trimboli, Michael Scott, Plett, Gregory L., Zane, Regan A., Smith, Kandler, Maksimovic, Dragan, Evzelman, Michael, Costinett, Daniel, and Anderson, Richard Dyche. Model predictive control and optimization for battery charging and discharging. United States: N. p., 2019. Web.
Trimboli, Michael Scott, Plett, Gregory L., Zane, Regan A., Smith, Kandler, Maksimovic, Dragan, Evzelman, Michael, Costinett, Daniel, & Anderson, Richard Dyche. Model predictive control and optimization for battery charging and discharging. United States.
Trimboli, Michael Scott, Plett, Gregory L., Zane, Regan A., Smith, Kandler, Maksimovic, Dragan, Evzelman, Michael, Costinett, Daniel, and Anderson, Richard Dyche. Tue . "Model predictive control and optimization for battery charging and discharging". United States. https://www.osti.gov/servlets/purl/1568381.
@article{osti_1568381,
title = {Model predictive control and optimization for battery charging and discharging},
author = {Trimboli, Michael Scott and Plett, Gregory L. and Zane, Regan A. and Smith, Kandler and Maksimovic, Dragan and Evzelman, Michael and Costinett, Daniel and Anderson, Richard Dyche},
abstractNote = {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.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2019},
month = {5}
}

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