SOH Estimation of lithium-ion batteries based on fast time domain impedance spectroscopy

Chao Lyu; Tao Zhang; Weilin Luo; Gang Wei; Baozhao Ma; Lixin Wang

doi:10.1109/ICIEA.2019.8834119

SOH Estimation of lithium-ion batteries based on fast time domain impedance spectroscopy

Chao Lyu
, Tao Zhang
, Weilin Luo
, Gang Wei
, Baozhao Ma
, Lixin Wang

School of Electrical Engineering and Automation, Harbin Institute of Technology
Shanghai Institute of Space Power Sources
Harbin Institute of Technology Shenzhen

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

40 Scopus citations

Abstract

Electrochemical impedance spectroscopy (EIS) is an effective method to characterize electrochemical electrodes, and is potentially a solution for estimating the state of health (SOH) of lithium-ion batteries (LIBs). A time domain EIS measurement technique followed by an equivalent circuit model interpretation is proposed in this paper. The accuracy of the measurement and the EIS-based SOH estimation are validated on Sanyo's UR14500P type LiCoO₂ cells, the results of which show that the proposed methods are effective in fast and economical assessment of LIBs.

Original language	English
Title of host publication	Proceedings of the 14th IEEE Conference on Industrial Electronics and Applications, ICIEA 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2142-2147
Number of pages	6
ISBN (Electronic)	9781538694909
DOIs	https://doi.org/10.1109/ICIEA.2019.8834119
State	Published - Jun 2019
Externally published	Yes
Event	14th IEEE Conference on Industrial Electronics and Applications, ICIEA 2019 - Xi'an, China Duration: 19 Jun 2019 → 21 Jun 2019

Publication series

Name	Proceedings of the 14th IEEE Conference on Industrial Electronics and Applications, ICIEA 2019

Conference

Conference	14th IEEE Conference on Industrial Electronics and Applications, ICIEA 2019
Country/Territory	China
City	Xi'an
Period	19/06/19 → 21/06/19

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

EIS
Fast Fourier transform
Lithium-ion Batteries
SOH
Time domain

Access to Document

10.1109/ICIEA.2019.8834119

Cite this

Lyu, C., Zhang, T., Luo, W., Wei, G., Ma, B., & Wang, L. (2019). SOH Estimation of lithium-ion batteries based on fast time domain impedance spectroscopy. In Proceedings of the 14th IEEE Conference on Industrial Electronics and Applications, ICIEA 2019 (pp. 2142-2147). Article 8834119 (Proceedings of the 14th IEEE Conference on Industrial Electronics and Applications, ICIEA 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICIEA.2019.8834119

Lyu, Chao ; Zhang, Tao ; Luo, Weilin et al. / SOH Estimation of lithium-ion batteries based on fast time domain impedance spectroscopy. Proceedings of the 14th IEEE Conference on Industrial Electronics and Applications, ICIEA 2019. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 2142-2147 (Proceedings of the 14th IEEE Conference on Industrial Electronics and Applications, ICIEA 2019).

@inproceedings{5c03e0e4f35643cf804acef6c4be1bc3,

title = "SOH Estimation of lithium-ion batteries based on fast time domain impedance spectroscopy",

abstract = "Electrochemical impedance spectroscopy (EIS) is an effective method to characterize electrochemical electrodes, and is potentially a solution for estimating the state of health (SOH) of lithium-ion batteries (LIBs). A time domain EIS measurement technique followed by an equivalent circuit model interpretation is proposed in this paper. The accuracy of the measurement and the EIS-based SOH estimation are validated on Sanyo's UR14500P type LiCoO2 cells, the results of which show that the proposed methods are effective in fast and economical assessment of LIBs.",

keywords = "EIS, Fast Fourier transform, Lithium-ion Batteries, SOH, Time domain",

author = "Chao Lyu and Tao Zhang and Weilin Luo and Gang Wei and Baozhao Ma and Lixin Wang",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 14th IEEE Conference on Industrial Electronics and Applications, ICIEA 2019 ; Conference date: 19-06-2019 Through 21-06-2019",

year = "2019",

month = jun,

doi = "10.1109/ICIEA.2019.8834119",

language = "英语",

series = "Proceedings of the 14th IEEE Conference on Industrial Electronics and Applications, ICIEA 2019",

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

pages = "2142--2147",

booktitle = "Proceedings of the 14th IEEE Conference on Industrial Electronics and Applications, ICIEA 2019",

address = "美国",

}

Lyu, C, Zhang, T, Luo, W, Wei, G, Ma, B & Wang, L 2019, SOH Estimation of lithium-ion batteries based on fast time domain impedance spectroscopy. in Proceedings of the 14th IEEE Conference on Industrial Electronics and Applications, ICIEA 2019., 8834119, Proceedings of the 14th IEEE Conference on Industrial Electronics and Applications, ICIEA 2019, Institute of Electrical and Electronics Engineers Inc., pp. 2142-2147, 14th IEEE Conference on Industrial Electronics and Applications, ICIEA 2019, Xi'an, China, 19/06/19. https://doi.org/10.1109/ICIEA.2019.8834119

SOH Estimation of lithium-ion batteries based on fast time domain impedance spectroscopy. / Lyu, Chao; Zhang, Tao; Luo, Weilin et al.
Proceedings of the 14th IEEE Conference on Industrial Electronics and Applications, ICIEA 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 2142-2147 8834119 (Proceedings of the 14th IEEE Conference on Industrial Electronics and Applications, ICIEA 2019).

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

TY - GEN

T1 - SOH Estimation of lithium-ion batteries based on fast time domain impedance spectroscopy

AU - Lyu, Chao

AU - Zhang, Tao

AU - Luo, Weilin

AU - Wei, Gang

AU - Ma, Baozhao

AU - Wang, Lixin

PY - 2019/6

Y1 - 2019/6

N2 - Electrochemical impedance spectroscopy (EIS) is an effective method to characterize electrochemical electrodes, and is potentially a solution for estimating the state of health (SOH) of lithium-ion batteries (LIBs). A time domain EIS measurement technique followed by an equivalent circuit model interpretation is proposed in this paper. The accuracy of the measurement and the EIS-based SOH estimation are validated on Sanyo's UR14500P type LiCoO2 cells, the results of which show that the proposed methods are effective in fast and economical assessment of LIBs.

AB - Electrochemical impedance spectroscopy (EIS) is an effective method to characterize electrochemical electrodes, and is potentially a solution for estimating the state of health (SOH) of lithium-ion batteries (LIBs). A time domain EIS measurement technique followed by an equivalent circuit model interpretation is proposed in this paper. The accuracy of the measurement and the EIS-based SOH estimation are validated on Sanyo's UR14500P type LiCoO2 cells, the results of which show that the proposed methods are effective in fast and economical assessment of LIBs.

KW - EIS

KW - Fast Fourier transform

KW - Lithium-ion Batteries

KW - SOH

KW - Time domain

UR - https://www.scopus.com/pages/publications/85073079453

U2 - 10.1109/ICIEA.2019.8834119

DO - 10.1109/ICIEA.2019.8834119

M3 - 会议稿件

AN - SCOPUS:85073079453

T3 - Proceedings of the 14th IEEE Conference on Industrial Electronics and Applications, ICIEA 2019

SP - 2142

EP - 2147

BT - Proceedings of the 14th IEEE Conference on Industrial Electronics and Applications, ICIEA 2019

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 14th IEEE Conference on Industrial Electronics and Applications, ICIEA 2019

Y2 - 19 June 2019 through 21 June 2019

ER -

Lyu C, Zhang T, Luo W, Wei G, Ma B, Wang L. SOH Estimation of lithium-ion batteries based on fast time domain impedance spectroscopy. In Proceedings of the 14th IEEE Conference on Industrial Electronics and Applications, ICIEA 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 2142-2147. 8834119. (Proceedings of the 14th IEEE Conference on Industrial Electronics and Applications, ICIEA 2019). doi: 10.1109/ICIEA.2019.8834119

SOH Estimation of lithium-ion batteries based on fast time domain impedance spectroscopy

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

Other files and links

Fingerprint

Cite this