A survey of long-term health modeling, estimation, and control of Lithium-ion batteries: Challenges and opportunities

Kelsey B. Hatzell; Aabhas Sharma; Hosam K. Fathy

doi:10.1109/acc.2012.6315578

A survey of long-term health modeling, estimation, and control of Lithium-ion batteries: Challenges and opportunities

Kelsey B. Hatzell
, Aabhas Sharma
, Hosam K. Fathy

Materials Research Institute (MRI)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

85 Scopus citations

Abstract

This paper reviews the literature on Lithium-ion battery characterization, control, and optimization. The paper examines the primary degradation processes in cycled cells, then proceeds to the challenges associated with controlling these processes. One key challenge is the multiplicity of complex phenomena contributing to battery aging, and the failure of most empirical battery health models to account for this multiplicity. This creates a need for identifying how batteries fail, and developing control-oriented fundamental models of their failure: a task that requires tight integration of experimental characterization techniques, system identification, and electrochemistry-based battery modeling and simulation. The paper provides an overview of battery degradation mechanisms and reactions, and the various methods used to characterize these reactions. We also highlight the battery control strategies currently in use, and the potential for long-term battery health improvements using model-based degradation control.

Original language	English (US)
Title of host publication	2012 American Control Conference, ACC 2012
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	584-591
Number of pages	8
ISBN (Print)	9781457710957
DOIs	https://doi.org/10.1109/acc.2012.6315578
State	Published - 2012
Event	2012 American Control Conference, ACC 2012 - Montreal, QC, Canada Duration: Jun 27 2012 → Jun 29 2012

Publication series

Name	Proceedings of the American Control Conference
ISSN (Print)	0743-1619

Other

Other	2012 American Control Conference, ACC 2012
Country/Territory	Canada
City	Montreal, QC
Period	6/27/12 → 6/29/12

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

All Science Journal Classification (ASJC) codes

Electrical and Electronic Engineering

Access to Document

10.1109/acc.2012.6315578

Cite this

Hatzell, K. B., Sharma, A., & Fathy, H. K. (2012). A survey of long-term health modeling, estimation, and control of Lithium-ion batteries: Challenges and opportunities. In 2012 American Control Conference, ACC 2012 (pp. 584-591). Article 6315578 (Proceedings of the American Control Conference). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/acc.2012.6315578

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abstract = "This paper reviews the literature on Lithium-ion battery characterization, control, and optimization. The paper examines the primary degradation processes in cycled cells, then proceeds to the challenges associated with controlling these processes. One key challenge is the multiplicity of complex phenomena contributing to battery aging, and the failure of most empirical battery health models to account for this multiplicity. This creates a need for identifying how batteries fail, and developing control-oriented fundamental models of their failure: a task that requires tight integration of experimental characterization techniques, system identification, and electrochemistry-based battery modeling and simulation. The paper provides an overview of battery degradation mechanisms and reactions, and the various methods used to characterize these reactions. We also highlight the battery control strategies currently in use, and the potential for long-term battery health improvements using model-based degradation control.",

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series = "Proceedings of the American Control Conference",

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Hatzell, KB, Sharma, A & Fathy, HK 2012, A survey of long-term health modeling, estimation, and control of Lithium-ion batteries: Challenges and opportunities. in 2012 American Control Conference, ACC 2012., 6315578, Proceedings of the American Control Conference, Institute of Electrical and Electronics Engineers Inc., pp. 584-591, 2012 American Control Conference, ACC 2012, Montreal, QC, Canada, 6/27/12. https://doi.org/10.1109/acc.2012.6315578

A survey of long-term health modeling, estimation, and control of Lithium-ion batteries: Challenges and opportunities. / Hatzell, Kelsey B.; Sharma, Aabhas; Fathy, Hosam K.
2012 American Control Conference, ACC 2012. Institute of Electrical and Electronics Engineers Inc., 2012. p. 584-591 6315578 (Proceedings of the American Control Conference).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AB - This paper reviews the literature on Lithium-ion battery characterization, control, and optimization. The paper examines the primary degradation processes in cycled cells, then proceeds to the challenges associated with controlling these processes. One key challenge is the multiplicity of complex phenomena contributing to battery aging, and the failure of most empirical battery health models to account for this multiplicity. This creates a need for identifying how batteries fail, and developing control-oriented fundamental models of their failure: a task that requires tight integration of experimental characterization techniques, system identification, and electrochemistry-based battery modeling and simulation. The paper provides an overview of battery degradation mechanisms and reactions, and the various methods used to characterize these reactions. We also highlight the battery control strategies currently in use, and the potential for long-term battery health improvements using model-based degradation control.

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A survey of long-term health modeling, estimation, and control of Lithium-ion batteries: Challenges and opportunities

Abstract

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UN SDGs

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