State-of-charge estimation for lithium-ion batteries via a coupled thermal-electrochemical model

Shuxia Tang, Yebin Wang, Zafer Sahinoglu, Toshihiro Wada, Satoshi Hara, Miroslav Krstic

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

16 Scopus citations


Accurate online state-of-charge (SoC) estimation is a basic need and also a fundamental challenge for battery applications. In order to achieve accurate SoC estimation for the lithium-ion batteries, we employ a coupled thermal-electrochemical model. This coupled system of an ordinary differential equation (ODE) and a partial differential equation (PDE) is simpler than the Doyle-Fuller-Newman (DFN) model, and is more accurate than the single particle model (SPM) alone. Thus, it could serve as a better fit of model for a full state observer design and accurate SoC estimation. PDE backstepping approach is utilized to develop a Luenberger observer for the electrode concentration, and estimation effectiveness of the proposed method is verified by simulation results.

Original languageEnglish
Title of host publicationACC 2015 - 2015 American Control Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages7
ISBN (Electronic)9781479986842
StatePublished - Jul 28 2015
Event2015 American Control Conference, ACC 2015 - Chicago, United States
Duration: Jul 1 2015Jul 3 2015

Publication series

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


Conference2015 American Control Conference, ACC 2015
Country/TerritoryUnited States


Dive into the research topics of 'State-of-charge estimation for lithium-ion batteries via a coupled thermal-electrochemical model'. Together they form a unique fingerprint.

Cite this