State-of-health estimation algorithm of Li-ion battery using impedance at low sampling rate

Taedong Goh; Minjun Park; Gyogwon Koo; Minhwan Seo; Sang Woo Kim

doi:10.1109/APPEEC.2016.7779487

State-of-health estimation algorithm of Li-ion battery using impedance at low sampling rate

Taedong Goh, Minjun Park, Gyogwon Koo, Minhwan Seo, Sang Woo Kim

Division of Intelligent Robot

Pohang University of Science and Technology

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

4 Scopus citations

Abstract

In this paper, an algorithm which estimates state-of-health of Li-ion battery based on impedance at low sampling rate is proposed. The algorithm includes a battery model with Warburg impedance instead of RC parallel circuit and recursive least square method for estimating the parameters. The parameters of the Warburg model and 1st order RC model at various aging cycles are analyzed. Compared with pure resistance that has similar values for the both models, the estimated Warburg impedance has more consistent values than the RC circuit parameters. The proposed algorithm can contribute to determine aging status using the estimated Warburg impedance under resistance bias by an external resistance.

Original language	English
Title of host publication	IEEE PES APPEEC 2016 - 2016 IEEE PES Asia Pacific Power and Energy Engineering Conference
Publisher	IEEE Computer Society
Pages	146-150
Number of pages	5
ISBN (Electronic)	9781509054183
DOIs	https://doi.org/10.1109/APPEEC.2016.7779487
State	Published - 9 Dec 2016
Event	2016 IEEE PES Asia Pacific Power and Energy Engineering Conference, APPEEC 2016 - Xi'an, China Duration: 25 Oct 2016 → 28 Oct 2016

Publication series

Name	Asia-Pacific Power and Energy Engineering Conference, APPEEC
Volume	2016-December
ISSN (Print)	2157-4839
ISSN (Electronic)	2157-4847

Conference

Conference	2016 IEEE PES Asia Pacific Power and Energy Engineering Conference, APPEEC 2016
Country/Territory	China
City	Xi'an
Period	25/10/16 → 28/10/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

Keywords

Fractional order model
and diagnosis
parameter identification

Access to Document

10.1109/APPEEC.2016.7779487

Cite this

Goh, T., Park, M., Koo, G., Seo, M., & Kim, S. W. (2016). State-of-health estimation algorithm of Li-ion battery using impedance at low sampling rate. In IEEE PES APPEEC 2016 - 2016 IEEE PES Asia Pacific Power and Energy Engineering Conference (pp. 146-150). Article 7779487 (Asia-Pacific Power and Energy Engineering Conference, APPEEC; Vol. 2016-December). IEEE Computer Society. https://doi.org/10.1109/APPEEC.2016.7779487

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title = "State-of-health estimation algorithm of Li-ion battery using impedance at low sampling rate",

abstract = "In this paper, an algorithm which estimates state-of-health of Li-ion battery based on impedance at low sampling rate is proposed. The algorithm includes a battery model with Warburg impedance instead of RC parallel circuit and recursive least square method for estimating the parameters. The parameters of the Warburg model and 1st order RC model at various aging cycles are analyzed. Compared with pure resistance that has similar values for the both models, the estimated Warburg impedance has more consistent values than the RC circuit parameters. The proposed algorithm can contribute to determine aging status using the estimated Warburg impedance under resistance bias by an external resistance.",

keywords = "Fractional order model, and diagnosis, parameter identification",

author = "Taedong Goh and Minjun Park and Gyogwon Koo and Minhwan Seo and Kim, {Sang Woo}",

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year = "2016",

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doi = "10.1109/APPEEC.2016.7779487",

language = "English",

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Goh, T, Park, M, Koo, G, Seo, M & Kim, SW 2016, State-of-health estimation algorithm of Li-ion battery using impedance at low sampling rate. in IEEE PES APPEEC 2016 - 2016 IEEE PES Asia Pacific Power and Energy Engineering Conference., 7779487, Asia-Pacific Power and Energy Engineering Conference, APPEEC, vol. 2016-December, IEEE Computer Society, pp. 146-150, 2016 IEEE PES Asia Pacific Power and Energy Engineering Conference, APPEEC 2016, Xi'an, China, 25/10/16. https://doi.org/10.1109/APPEEC.2016.7779487

State-of-health estimation algorithm of Li-ion battery using impedance at low sampling rate. / Goh, Taedong; Park, Minjun; Koo, Gyogwon et al.
IEEE PES APPEEC 2016 - 2016 IEEE PES Asia Pacific Power and Energy Engineering Conference. IEEE Computer Society, 2016. p. 146-150 7779487 (Asia-Pacific Power and Energy Engineering Conference, APPEEC; Vol. 2016-December).

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

TY - GEN

T1 - State-of-health estimation algorithm of Li-ion battery using impedance at low sampling rate

AU - Goh, Taedong

AU - Park, Minjun

AU - Koo, Gyogwon

AU - Seo, Minhwan

AU - Kim, Sang Woo

PY - 2016/12/9

Y1 - 2016/12/9

N2 - In this paper, an algorithm which estimates state-of-health of Li-ion battery based on impedance at low sampling rate is proposed. The algorithm includes a battery model with Warburg impedance instead of RC parallel circuit and recursive least square method for estimating the parameters. The parameters of the Warburg model and 1st order RC model at various aging cycles are analyzed. Compared with pure resistance that has similar values for the both models, the estimated Warburg impedance has more consistent values than the RC circuit parameters. The proposed algorithm can contribute to determine aging status using the estimated Warburg impedance under resistance bias by an external resistance.

AB - In this paper, an algorithm which estimates state-of-health of Li-ion battery based on impedance at low sampling rate is proposed. The algorithm includes a battery model with Warburg impedance instead of RC parallel circuit and recursive least square method for estimating the parameters. The parameters of the Warburg model and 1st order RC model at various aging cycles are analyzed. Compared with pure resistance that has similar values for the both models, the estimated Warburg impedance has more consistent values than the RC circuit parameters. The proposed algorithm can contribute to determine aging status using the estimated Warburg impedance under resistance bias by an external resistance.

KW - Fractional order model

KW - and diagnosis

KW - parameter identification

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M3 - Conference contribution

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SP - 146

EP - 150

BT - IEEE PES APPEEC 2016 - 2016 IEEE PES Asia Pacific Power and Energy Engineering Conference

PB - IEEE Computer Society

T2 - 2016 IEEE PES Asia Pacific Power and Energy Engineering Conference, APPEEC 2016

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ER -

Goh T, Park M, Koo G, Seo M, Kim SW. State-of-health estimation algorithm of Li-ion battery using impedance at low sampling rate. In IEEE PES APPEEC 2016 - 2016 IEEE PES Asia Pacific Power and Energy Engineering Conference. IEEE Computer Society. 2016. p. 146-150. 7779487. (Asia-Pacific Power and Energy Engineering Conference, APPEEC). doi: 10.1109/APPEEC.2016.7779487

State-of-health estimation algorithm of Li-ion battery using impedance at low sampling rate

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