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

doi:10.1109/ACC.2015.7172260

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

Mechanical Engineering

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

16 Scopus citations

Abstract

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 language	English
Title of host publication	ACC 2015 - 2015 American Control Conference
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	5871-5877
Number of pages	7
ISBN (Electronic)	9781479986842
DOIs	https://doi.org/10.1109/ACC.2015.7172260
State	Published - Jul 28 2015
Event	2015 American Control Conference, ACC 2015 - Chicago, United States Duration: Jul 1 2015 → Jul 3 2015

Publication series

Name	Proceedings of the American Control Conference
Volume	2015-July
ISSN (Print)	0743-1619

Conference

Conference	2015 American Control Conference, ACC 2015
Country/Territory	United States
City	Chicago
Period	07/1/15 → 07/3/15

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10.1109/ACC.2015.7172260

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Tang, S., Wang, Y., Sahinoglu, Z., Wada, T., Hara, S., & Krstic, M. (2015). State-of-charge estimation for lithium-ion batteries via a coupled thermal-electrochemical model. In ACC 2015 - 2015 American Control Conference (pp. 5871-5877). [7172260] (Proceedings of the American Control Conference; Vol. 2015-July). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ACC.2015.7172260

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title = "State-of-charge estimation for lithium-ion batteries via a coupled thermal-electrochemical model",

abstract = "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.",

author = "Shuxia Tang and Yebin Wang and Zafer Sahinoglu and Toshihiro Wada and Satoshi Hara and Miroslav Krstic",

note = "Publisher Copyright: {\textcopyright} 2015 American Automatic Control Council.; null ; Conference date: 01-07-2015 Through 03-07-2015",

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Tang, S, Wang, Y, Sahinoglu, Z, Wada, T, Hara, S & Krstic, M 2015, State-of-charge estimation for lithium-ion batteries via a coupled thermal-electrochemical model. in ACC 2015 - 2015 American Control Conference., 7172260, Proceedings of the American Control Conference, vol. 2015-July, Institute of Electrical and Electronics Engineers Inc., pp. 5871-5877, 2015 American Control Conference, ACC 2015, Chicago, United States, 07/1/15. https://doi.org/10.1109/ACC.2015.7172260

State-of-charge estimation for lithium-ion batteries via a coupled thermal-electrochemical model. / Tang, Shuxia; Wang, Yebin; Sahinoglu, Zafer et al.

ACC 2015 - 2015 American Control Conference. Institute of Electrical and Electronics Engineers Inc., 2015. p. 5871-5877 7172260 (Proceedings of the American Control Conference; Vol. 2015-July).

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

TY - GEN

T1 - State-of-charge estimation for lithium-ion batteries via a coupled thermal-electrochemical model

AU - Tang, Shuxia

AU - Wang, Yebin

AU - Sahinoglu, Zafer

AU - Wada, Toshihiro

AU - Hara, Satoshi

AU - Krstic, Miroslav

PY - 2015/7/28

Y1 - 2015/7/28

N2 - 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.

AB - 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.

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M3 - Conference contribution

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PB - Institute of Electrical and Electronics Engineers Inc.

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ER -

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

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