Control-oriented modeling and adaptive parameter estimation of a lithium ion intercalation cell

Thesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2015.

Bibliographic Details
Main Author: Bi, Pierre (Pierre Yanhe)
Other Authors: Anuradha M. Annaswamy.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2015
Subjects:
Online Access:http://hdl.handle.net/1721.1/100153
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author Bi, Pierre (Pierre Yanhe)
author2 Anuradha M. Annaswamy.
author_facet Anuradha M. Annaswamy.
Bi, Pierre (Pierre Yanhe)
author_sort Bi, Pierre (Pierre Yanhe)
collection MIT
description Thesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2015.
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spelling mit-1721.1/1001532019-04-11T01:26:14Z Control-oriented modeling and adaptive parameter estimation of a lithium ion intercalation cell Bi, Pierre (Pierre Yanhe) Anuradha M. Annaswamy. Massachusetts Institute of Technology. Department of Mechanical Engineering. Massachusetts Institute of Technology. Department of Mechanical Engineering. Mechanical Engineering. Thesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2015. Cataloged from PDF version of thesis. Includes bibliographical references (pages 99-101). Battery management systems using parameter and state estimators based on electrochemical models for Lithium ion cells, are promising efficient use and safety of the battery. In this thesis, two findings related to electrochemical model based estimation are presented - first an extended adaptive observer for a Li-ion cell and second a reduced order model of the Pseudo Two-Dimensional model. In order to compute the optimal control at any given time, a precise estimation of the battery states and health is required. This estimation is typically carried out for two metrics, state of charge (SOC) and state of health (SOH), for advanced BMS. To simultaneously estimate SOC and SOH of the cell, an extended adaptive observer, guaranteeing global stability for state tracking, is derived. This extended adaptive observer is based on a non-minimal representation of the linear plant and a recursive least square algorithm for the parameter update law. We further present a reduced order model of the Pseudo Two-Dimensional model, that captures spatial variations in physical phenomena in electrolyte diffusion, electrolyte potential, solid potential and reaction kinetics. It is based on the absolute nodal coordinate formulation (ANCF) proposed in [281 for nonlinear beam models. The ANCF model is shown to be accurate for currents up to 4C for a LiCoO2 /LiC6 cell. The afore mentioned extended adaptive observer is also applied to the ANCF model and parameters are shown to converge under conditions of persistent excitation.. by Pierre Bi. S.M. 2015-12-03T20:56:47Z 2015-12-03T20:56:47Z 2015 2015 Thesis http://hdl.handle.net/1721.1/100153 930152544 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 101 pages application/pdf Massachusetts Institute of Technology
spellingShingle Mechanical Engineering.
Bi, Pierre (Pierre Yanhe)
Control-oriented modeling and adaptive parameter estimation of a lithium ion intercalation cell
title Control-oriented modeling and adaptive parameter estimation of a lithium ion intercalation cell
title_full Control-oriented modeling and adaptive parameter estimation of a lithium ion intercalation cell
title_fullStr Control-oriented modeling and adaptive parameter estimation of a lithium ion intercalation cell
title_full_unstemmed Control-oriented modeling and adaptive parameter estimation of a lithium ion intercalation cell
title_short Control-oriented modeling and adaptive parameter estimation of a lithium ion intercalation cell
title_sort control oriented modeling and adaptive parameter estimation of a lithium ion intercalation cell
topic Mechanical Engineering.
url http://hdl.handle.net/1721.1/100153
work_keys_str_mv AT bipierrepierreyanhe controlorientedmodelingandadaptiveparameterestimationofalithiumionintercalationcell