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The Lithium-Ion Battery Modeling Challenge
Author(s) -
Donald J. Docimo,
Mohammad Ghanaatpishe,
Michael J. Rothenberger,
Christopher D. Rahn,
Hosam I. Fathy
Publication year - 2014
Publication title -
mechanical engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.117
H-Index - 17
eISSN - 1943-5649
pISSN - 0025-6501
DOI - 10.1115/6.2014-jun-5
Subject(s) - battery (electricity) , lithium ion battery , computer science , lithium (medication) , energy storage , automotive engineering , electrical engineering , engineering , power (physics) , medicine , physics , endocrinology , quantum mechanics
This article addresses various challenges associated with lithium-ion battery modeling. Lithium-ion batteries have a key role to play in mobile energy storage. One can potentially expand the envelope of lithium-ion battery performance, efficiency, safety, and longevity by using fundamental electrochemistry-based models for battery control. There are clear trade-offs between battery model fidelity and complexity, and a significant literature addressing these trade-offs. Electrochemistry-based battery models can be effective at capturing frequency-domain battery dynamics, especially at lower frequencies. When they are examined in this light, the commonalities between them and equivalent-circuit models become more visible. Constructing lithium-ion battery models certainly takes effort, and so does reducing these models for control design purposes. One important open challenge in lithium-ion battery modeling is the matching of sophisticated battery models to experimental data. Half-cell testing or insertion of a third reference electrode in a fuel cell can separate the contributions of the negative and positive electrodes, and researchers are pursuing other novel technologies for in-cell instrumentation and measurement.

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