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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

71 Scopus citations


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 languageEnglish (US)
Title of host publication2012 American Control Conference, ACC 2012
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages8
ISBN (Print)9781457710957
StatePublished - 2012
Externally publishedYes
Event2012 American Control Conference, ACC 2012 - Montreal, QC, Canada
Duration: Jun 27 2012Jun 29 2012

Publication series

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


Other2012 American Control Conference, ACC 2012
CityMontreal, QC

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering


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