A novel method for capacity fade analysis of lithium-ion batteries based on multi-physics model

Liqiang Zhang; Junfu Li; Chao Lyu

doi:10.1109/ICPHM.2016.7542834

A novel method for capacity fade analysis of lithium-ion batteries based on multi-physics model

Liqiang Zhang
, Junfu Li
, Chao Lyu

Ocean University of China
School of Electrical Engineering and Automation, Harbin Institute of Technology

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

6 Scopus citations

Abstract

Detailed information of the capacity fade mechanisms can be very beneficial for the prognostics and health management (PHM) study of lithium-ion batteries. This paper reports a novel capacity fade analysis method. The parameter degradation of multi-physics model is achieved, and the three main factors of capacity fade is quantitatively calculated by using the obtained parameters. The results show that the loss of active material and the loss of Li inventory is the main reason of capacity fade at high temperature and room temperature, respectively. And the proposed method can further help improving battery (pack) management, reliability and safety.

Original language	English
Title of host publication	2016 IEEE International Conference on Prognostics and Health Management, ICPHM 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509003822
DOIs	https://doi.org/10.1109/ICPHM.2016.7542834
State	Published - 12 Aug 2016
Externally published	Yes
Event	2016 IEEE International Conference on Prognostics and Health Management, ICPHM 2016 - Ottawa, Canada Duration: 20 Jun 2016 → 22 Jun 2016

Publication series

Name	2016 IEEE International Conference on Prognostics and Health Management, ICPHM 2016

Conference

Conference	2016 IEEE International Conference on Prognostics and Health Management, ICPHM 2016
Country/Territory	Canada
City	Ottawa
Period	20/06/16 → 22/06/16

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

capacity fade
degradation analysis
lithium-ion battery
multi-physics model
parameter identification

Access to Document

10.1109/ICPHM.2016.7542834

Cite this

Zhang, L., Li, J., & Lyu, C. (2016). A novel method for capacity fade analysis of lithium-ion batteries based on multi-physics model. In 2016 IEEE International Conference on Prognostics and Health Management, ICPHM 2016 Article 7542834 (2016 IEEE International Conference on Prognostics and Health Management, ICPHM 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICPHM.2016.7542834

Zhang, Liqiang ; Li, Junfu ; Lyu, Chao. / A novel method for capacity fade analysis of lithium-ion batteries based on multi-physics model. 2016 IEEE International Conference on Prognostics and Health Management, ICPHM 2016. Institute of Electrical and Electronics Engineers Inc., 2016. (2016 IEEE International Conference on Prognostics and Health Management, ICPHM 2016).

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title = "A novel method for capacity fade analysis of lithium-ion batteries based on multi-physics model",

abstract = "Detailed information of the capacity fade mechanisms can be very beneficial for the prognostics and health management (PHM) study of lithium-ion batteries. This paper reports a novel capacity fade analysis method. The parameter degradation of multi-physics model is achieved, and the three main factors of capacity fade is quantitatively calculated by using the obtained parameters. The results show that the loss of active material and the loss of Li inventory is the main reason of capacity fade at high temperature and room temperature, respectively. And the proposed method can further help improving battery (pack) management, reliability and safety.",

keywords = "capacity fade, degradation analysis, lithium-ion battery, multi-physics model, parameter identification",

author = "Liqiang Zhang and Junfu Li and Chao Lyu",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE International Conference on Prognostics and Health Management, ICPHM 2016 ; Conference date: 20-06-2016 Through 22-06-2016",

year = "2016",

month = aug,

day = "12",

doi = "10.1109/ICPHM.2016.7542834",

language = "英语",

series = "2016 IEEE International Conference on Prognostics and Health Management, ICPHM 2016",

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

booktitle = "2016 IEEE International Conference on Prognostics and Health Management, ICPHM 2016",

address = "美国",

}

Zhang, L, Li, J & Lyu, C 2016, A novel method for capacity fade analysis of lithium-ion batteries based on multi-physics model. in 2016 IEEE International Conference on Prognostics and Health Management, ICPHM 2016., 7542834, 2016 IEEE International Conference on Prognostics and Health Management, ICPHM 2016, Institute of Electrical and Electronics Engineers Inc., 2016 IEEE International Conference on Prognostics and Health Management, ICPHM 2016, Ottawa, Canada, 20/06/16. https://doi.org/10.1109/ICPHM.2016.7542834

A novel method for capacity fade analysis of lithium-ion batteries based on multi-physics model. / Zhang, Liqiang; Li, Junfu; Lyu, Chao.
2016 IEEE International Conference on Prognostics and Health Management, ICPHM 2016. Institute of Electrical and Electronics Engineers Inc., 2016. 7542834 (2016 IEEE International Conference on Prognostics and Health Management, ICPHM 2016).

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

TY - GEN

T1 - A novel method for capacity fade analysis of lithium-ion batteries based on multi-physics model

AU - Zhang, Liqiang

AU - Li, Junfu

AU - Lyu, Chao

PY - 2016/8/12

Y1 - 2016/8/12

N2 - Detailed information of the capacity fade mechanisms can be very beneficial for the prognostics and health management (PHM) study of lithium-ion batteries. This paper reports a novel capacity fade analysis method. The parameter degradation of multi-physics model is achieved, and the three main factors of capacity fade is quantitatively calculated by using the obtained parameters. The results show that the loss of active material and the loss of Li inventory is the main reason of capacity fade at high temperature and room temperature, respectively. And the proposed method can further help improving battery (pack) management, reliability and safety.

AB - Detailed information of the capacity fade mechanisms can be very beneficial for the prognostics and health management (PHM) study of lithium-ion batteries. This paper reports a novel capacity fade analysis method. The parameter degradation of multi-physics model is achieved, and the three main factors of capacity fade is quantitatively calculated by using the obtained parameters. The results show that the loss of active material and the loss of Li inventory is the main reason of capacity fade at high temperature and room temperature, respectively. And the proposed method can further help improving battery (pack) management, reliability and safety.

KW - capacity fade

KW - degradation analysis

KW - lithium-ion battery

KW - multi-physics model

KW - parameter identification

UR - https://www.scopus.com/pages/publications/84985919783

U2 - 10.1109/ICPHM.2016.7542834

DO - 10.1109/ICPHM.2016.7542834

M3 - 会议稿件

AN - SCOPUS:84985919783

T3 - 2016 IEEE International Conference on Prognostics and Health Management, ICPHM 2016

BT - 2016 IEEE International Conference on Prognostics and Health Management, ICPHM 2016

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2016 IEEE International Conference on Prognostics and Health Management, ICPHM 2016

Y2 - 20 June 2016 through 22 June 2016

ER -

Zhang L, Li J, Lyu C. A novel method for capacity fade analysis of lithium-ion batteries based on multi-physics model. In 2016 IEEE International Conference on Prognostics and Health Management, ICPHM 2016. Institute of Electrical and Electronics Engineers Inc. 2016. 7542834. (2016 IEEE International Conference on Prognostics and Health Management, ICPHM 2016). doi: 10.1109/ICPHM.2016.7542834

A novel method for capacity fade analysis of lithium-ion batteries based on multi-physics model

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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