Analysis of Battery Capacity Decay and Capacity Prediction

Yan Gao; Xiaolei Shi; Fang Wang; Shiqiang Liu; Tianyi Ma; Pengfei Yan; Ce Han

doi:10.1007/978-3-031-69483-7_29

Analysis of Battery Capacity Decay and Capacity Prediction

Yan Gao^*
, Xiaolei Shi
, Fang Wang
, Shiqiang Liu
, Tianyi Ma
, Pengfei Yan
, Ce Han

^*Corresponding author for this work

Ltd.

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

Abstract

Accurate estimation and evolution prediction of the electrical properties of lithium-ion batteries are of great significance for the improvement of battery reliability and optimization of control strategies. Based on the mechanism model of lithium-ion battery, a quantitative and qualitative analysis method is proposed for the state evolution of the composite electrode by analyzing the evolution of the internal state during the battery decay process based on the mechanism model analysis method. Aiming at the working characteristics of the composite electrode, a mechanism model containing multiple material electrodes is established on the basis of a quasi-two-dimensional electrochemical model, and a steady-state model of the composite electrode is established by neglecting the polarization process inside the cell. The study on the decay of composite electrodes under shelf and cyclic aging, through the analysis of the mechanism model, found that the composite electrodes in the decay process of a variety of materials interact with each other, and in the different stages of the decay of different characteristics. Meanwhile, based on the mechanism model analysis method, combined with the decay mechanism of the battery, the capacity performance prediction of the battery is studied, and the analytical method for the capacity decay of lithium-ion batteries in the storage process is proposed.

Original language	English
Title of host publication	Proceedings of the TEPEN International Workshop on Fault Diagnostic and Prognostic - TEPEN2024-IWFDP
Editors	Tongtong Liu, Fan Zhang, Shiqing Huang, Jingjing Wang, Fengshou Gu
Publisher	Springer Science and Business Media B.V.
Pages	309-324
Number of pages	16
ISBN (Print)	9783031694820
DOIs	https://doi.org/10.1007/978-3-031-69483-7_29
Publication status	Published - 2024
Externally published	Yes
Event	TEPEN International Workshop on Fault Diagnostics and Prognostics, TEPEN-IWFDP 2024 - Qingdao, China Duration: 8 May 2024 → 11 May 2024

Publication series

Name	Mechanisms and Machine Science
Volume	169 MMS
ISSN (Print)	2211-0984
ISSN (Electronic)	2211-0992

Conference

Conference	TEPEN International Workshop on Fault Diagnostics and Prognostics, TEPEN-IWFDP 2024
Country/Territory	China
City	Qingdao
Period	8/05/24 → 11/05/24

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Battery Parameter Decay Model
Electrical Performance Prediction
Lithium-ion Battery
Whole Life Cycle

Access to Document

10.1007/978-3-031-69483-7_29

Cite this

Gao, Y., Shi, X., Wang, F., Liu, S., Ma, T., Yan, P., & Han, C. (2024). Analysis of Battery Capacity Decay and Capacity Prediction. In T. Liu, F. Zhang, S. Huang, J. Wang, & F. Gu (Eds.), Proceedings of the TEPEN International Workshop on Fault Diagnostic and Prognostic - TEPEN2024-IWFDP (pp. 309-324). (Mechanisms and Machine Science; Vol. 169 MMS). Springer Science and Business Media B.V.. https://doi.org/10.1007/978-3-031-69483-7_29

Gao, Yan ; Shi, Xiaolei ; Wang, Fang et al. / Analysis of Battery Capacity Decay and Capacity Prediction. Proceedings of the TEPEN International Workshop on Fault Diagnostic and Prognostic - TEPEN2024-IWFDP. editor / Tongtong Liu ; Fan Zhang ; Shiqing Huang ; Jingjing Wang ; Fengshou Gu. Springer Science and Business Media B.V., 2024. pp. 309-324 (Mechanisms and Machine Science).

@inproceedings{7eff60382852439db488f9c20b9494ce,

title = "Analysis of Battery Capacity Decay and Capacity Prediction",

abstract = "Accurate estimation and evolution prediction of the electrical properties of lithium-ion batteries are of great significance for the improvement of battery reliability and optimization of control strategies. Based on the mechanism model of lithium-ion battery, a quantitative and qualitative analysis method is proposed for the state evolution of the composite electrode by analyzing the evolution of the internal state during the battery decay process based on the mechanism model analysis method. Aiming at the working characteristics of the composite electrode, a mechanism model containing multiple material electrodes is established on the basis of a quasi-two-dimensional electrochemical model, and a steady-state model of the composite electrode is established by neglecting the polarization process inside the cell. The study on the decay of composite electrodes under shelf and cyclic aging, through the analysis of the mechanism model, found that the composite electrodes in the decay process of a variety of materials interact with each other, and in the different stages of the decay of different characteristics. Meanwhile, based on the mechanism model analysis method, combined with the decay mechanism of the battery, the capacity performance prediction of the battery is studied, and the analytical method for the capacity decay of lithium-ion batteries in the storage process is proposed.",

keywords = "Battery Parameter Decay Model, Electrical Performance Prediction, Lithium-ion Battery, Whole Life Cycle",

author = "Yan Gao and Xiaolei Shi and Fang Wang and Shiqiang Liu and Tianyi Ma and Pengfei Yan and Ce Han",

note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.; TEPEN International Workshop on Fault Diagnostics and Prognostics, TEPEN-IWFDP 2024 ; Conference date: 08-05-2024 Through 11-05-2024",

year = "2024",

doi = "10.1007/978-3-031-69483-7\_29",

language = "English",

isbn = "9783031694820",

series = "Mechanisms and Machine Science",

publisher = "Springer Science and Business Media B.V.",

pages = "309--324",

editor = "Tongtong Liu and Fan Zhang and Shiqing Huang and Jingjing Wang and Fengshou Gu",

booktitle = "Proceedings of the TEPEN International Workshop on Fault Diagnostic and Prognostic - TEPEN2024-IWFDP",

address = "Germany",

}

Gao, Y, Shi, X, Wang, F, Liu, S, Ma, T, Yan, P & Han, C 2024, Analysis of Battery Capacity Decay and Capacity Prediction. in T Liu, F Zhang, S Huang, J Wang & F Gu (eds), Proceedings of the TEPEN International Workshop on Fault Diagnostic and Prognostic - TEPEN2024-IWFDP. Mechanisms and Machine Science, vol. 169 MMS, Springer Science and Business Media B.V., pp. 309-324, TEPEN International Workshop on Fault Diagnostics and Prognostics, TEPEN-IWFDP 2024, Qingdao, China, 8/05/24. https://doi.org/10.1007/978-3-031-69483-7_29

Analysis of Battery Capacity Decay and Capacity Prediction. / Gao, Yan; Shi, Xiaolei; Wang, Fang et al.
Proceedings of the TEPEN International Workshop on Fault Diagnostic and Prognostic - TEPEN2024-IWFDP. ed. / Tongtong Liu; Fan Zhang; Shiqing Huang; Jingjing Wang; Fengshou Gu. Springer Science and Business Media B.V., 2024. p. 309-324 (Mechanisms and Machine Science; Vol. 169 MMS).

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

TY - GEN

T1 - Analysis of Battery Capacity Decay and Capacity Prediction

AU - Gao, Yan

AU - Shi, Xiaolei

AU - Wang, Fang

AU - Liu, Shiqiang

AU - Ma, Tianyi

AU - Yan, Pengfei

AU - Han, Ce

N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

PY - 2024

Y1 - 2024

N2 - Accurate estimation and evolution prediction of the electrical properties of lithium-ion batteries are of great significance for the improvement of battery reliability and optimization of control strategies. Based on the mechanism model of lithium-ion battery, a quantitative and qualitative analysis method is proposed for the state evolution of the composite electrode by analyzing the evolution of the internal state during the battery decay process based on the mechanism model analysis method. Aiming at the working characteristics of the composite electrode, a mechanism model containing multiple material electrodes is established on the basis of a quasi-two-dimensional electrochemical model, and a steady-state model of the composite electrode is established by neglecting the polarization process inside the cell. The study on the decay of composite electrodes under shelf and cyclic aging, through the analysis of the mechanism model, found that the composite electrodes in the decay process of a variety of materials interact with each other, and in the different stages of the decay of different characteristics. Meanwhile, based on the mechanism model analysis method, combined with the decay mechanism of the battery, the capacity performance prediction of the battery is studied, and the analytical method for the capacity decay of lithium-ion batteries in the storage process is proposed.

AB - Accurate estimation and evolution prediction of the electrical properties of lithium-ion batteries are of great significance for the improvement of battery reliability and optimization of control strategies. Based on the mechanism model of lithium-ion battery, a quantitative and qualitative analysis method is proposed for the state evolution of the composite electrode by analyzing the evolution of the internal state during the battery decay process based on the mechanism model analysis method. Aiming at the working characteristics of the composite electrode, a mechanism model containing multiple material electrodes is established on the basis of a quasi-two-dimensional electrochemical model, and a steady-state model of the composite electrode is established by neglecting the polarization process inside the cell. The study on the decay of composite electrodes under shelf and cyclic aging, through the analysis of the mechanism model, found that the composite electrodes in the decay process of a variety of materials interact with each other, and in the different stages of the decay of different characteristics. Meanwhile, based on the mechanism model analysis method, combined with the decay mechanism of the battery, the capacity performance prediction of the battery is studied, and the analytical method for the capacity decay of lithium-ion batteries in the storage process is proposed.

KW - Battery Parameter Decay Model

KW - Electrical Performance Prediction

KW - Lithium-ion Battery

KW - Whole Life Cycle

UR - https://www.scopus.com/pages/publications/85204394765

U2 - 10.1007/978-3-031-69483-7_29

DO - 10.1007/978-3-031-69483-7_29

M3 - Conference contribution

AN - SCOPUS:85204394765

SN - 9783031694820

T3 - Mechanisms and Machine Science

SP - 309

EP - 324

BT - Proceedings of the TEPEN International Workshop on Fault Diagnostic and Prognostic - TEPEN2024-IWFDP

A2 - Liu, Tongtong

A2 - Zhang, Fan

A2 - Huang, Shiqing

A2 - Wang, Jingjing

A2 - Gu, Fengshou

PB - Springer Science and Business Media B.V.

T2 - TEPEN International Workshop on Fault Diagnostics and Prognostics, TEPEN-IWFDP 2024

Y2 - 8 May 2024 through 11 May 2024

ER -

Gao Y, Shi X, Wang F, Liu S, Ma T, Yan P et al. Analysis of Battery Capacity Decay and Capacity Prediction. In Liu T, Zhang F, Huang S, Wang J, Gu F, editors, Proceedings of the TEPEN International Workshop on Fault Diagnostic and Prognostic - TEPEN2024-IWFDP. Springer Science and Business Media B.V. 2024. p. 309-324. (Mechanisms and Machine Science). doi: 10.1007/978-3-031-69483-7_29

Analysis of Battery Capacity Decay and Capacity Prediction

Abstract

Publication series

Conference

UN SDGs

Keywords

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