Improving SOC accuracy using collective estimation for Lithium Ion battery cells in series

Jariullah Safi; Michael Beeney; Michelle Kehs; Joel Anstrom; Sean Brennan; Hosam Fathy

doi:10.1109/ACC.2014.6859050

Improving SOC accuracy using collective estimation for Lithium Ion battery cells in series

Jariullah Safi, Michael Beeney, Michelle Kehs, Joel Anstrom, Sean Brennan, Hosam Fathy

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

2 Scopus citations

Abstract

This paper presents new methods for improving state of charge (SOC) estimation accuracy for Lithium Ion battery cells connected in series. The methods benefit from the fact that the cells share a common current trajectory. These methods extend previously studied techniques for SOC estimation, like the Extended Kalman Filter. While the existing literature focuses on estimating SOC for individual cells separately, we consider the cells in a series string collectively. We show that estimation accuracy is increased for cells in series both when they are 1) balanced and 2) un-balanced. We validate these methods against a control case using Monte Carlo simulation.

Original language	English (US)
Title of host publication	2014 American Control Conference, ACC 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	254-259
Number of pages	6
ISBN (Print)	9781479932726
DOIs	https://doi.org/10.1109/ACC.2014.6859050
State	Published - Jan 1 2014
Event	2014 American Control Conference, ACC 2014 - Portland, OR, United States Duration: Jun 4 2014 → Jun 6 2014

Publication series

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

Other

Other	2014 American Control Conference, ACC 2014
Country/Territory	United States
City	Portland, OR
Period	6/4/14 → 6/6/14

All Science Journal Classification (ASJC) codes

Electrical and Electronic Engineering

UN SDGs

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

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10.1109/ACC.2014.6859050

Cite this

Safi, J., Beeney, M., Kehs, M., Anstrom, J., Brennan, S., & Fathy, H. (2014). Improving SOC accuracy using collective estimation for Lithium Ion battery cells in series. In 2014 American Control Conference, ACC 2014 (pp. 254-259). Article 6859050 (Proceedings of the American Control Conference). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ACC.2014.6859050

@inproceedings{031a0fd91fa2446eb59e90a650de2894,

title = "Improving SOC accuracy using collective estimation for Lithium Ion battery cells in series",

abstract = "This paper presents new methods for improving state of charge (SOC) estimation accuracy for Lithium Ion battery cells connected in series. The methods benefit from the fact that the cells share a common current trajectory. These methods extend previously studied techniques for SOC estimation, like the Extended Kalman Filter. While the existing literature focuses on estimating SOC for individual cells separately, we consider the cells in a series string collectively. We show that estimation accuracy is increased for cells in series both when they are 1) balanced and 2) un-balanced. We validate these methods against a control case using Monte Carlo simulation.",

author = "Jariullah Safi and Michael Beeney and Michelle Kehs and Joel Anstrom and Sean Brennan and Hosam Fathy",

year = "2014",

month = jan,

day = "1",

doi = "10.1109/ACC.2014.6859050",

language = "English (US)",

isbn = "9781479932726",

series = "Proceedings of the American Control Conference",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "254--259",

booktitle = "2014 American Control Conference, ACC 2014",

address = "United States",

note = "2014 American Control Conference, ACC 2014 ; Conference date: 04-06-2014 Through 06-06-2014",

}

Safi, J, Beeney, M, Kehs, M, Anstrom, J , Brennan, S & Fathy, H 2014, Improving SOC accuracy using collective estimation for Lithium Ion battery cells in series. in 2014 American Control Conference, ACC 2014., 6859050, Proceedings of the American Control Conference, Institute of Electrical and Electronics Engineers Inc., pp. 254-259, 2014 American Control Conference, ACC 2014, Portland, OR, United States, 6/4/14. https://doi.org/10.1109/ACC.2014.6859050

Improving SOC accuracy using collective estimation for Lithium Ion battery cells in series. / Safi, Jariullah; Beeney, Michael; Kehs, Michelle et al.
2014 American Control Conference, ACC 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 254-259 6859050 (Proceedings of the American Control Conference).

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

TY - GEN

T1 - Improving SOC accuracy using collective estimation for Lithium Ion battery cells in series

AU - Safi, Jariullah

AU - Beeney, Michael

AU - Kehs, Michelle

AU - Anstrom, Joel

AU - Brennan, Sean

AU - Fathy, Hosam

PY - 2014/1/1

Y1 - 2014/1/1

N2 - This paper presents new methods for improving state of charge (SOC) estimation accuracy for Lithium Ion battery cells connected in series. The methods benefit from the fact that the cells share a common current trajectory. These methods extend previously studied techniques for SOC estimation, like the Extended Kalman Filter. While the existing literature focuses on estimating SOC for individual cells separately, we consider the cells in a series string collectively. We show that estimation accuracy is increased for cells in series both when they are 1) balanced and 2) un-balanced. We validate these methods against a control case using Monte Carlo simulation.

AB - This paper presents new methods for improving state of charge (SOC) estimation accuracy for Lithium Ion battery cells connected in series. The methods benefit from the fact that the cells share a common current trajectory. These methods extend previously studied techniques for SOC estimation, like the Extended Kalman Filter. While the existing literature focuses on estimating SOC for individual cells separately, we consider the cells in a series string collectively. We show that estimation accuracy is increased for cells in series both when they are 1) balanced and 2) un-balanced. We validate these methods against a control case using Monte Carlo simulation.

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U2 - 10.1109/ACC.2014.6859050

DO - 10.1109/ACC.2014.6859050

M3 - Conference contribution

AN - SCOPUS:84905674695

SN - 9781479932726

T3 - Proceedings of the American Control Conference

SP - 254

EP - 259

BT - 2014 American Control Conference, ACC 2014

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2014 American Control Conference, ACC 2014

Y2 - 4 June 2014 through 6 June 2014

ER -

Improving SOC accuracy using collective estimation for Lithium Ion battery cells in series

Abstract

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All Science Journal Classification (ASJC) codes

UN SDGs

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