摘要
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.
| 源语言 | 英语 |
|---|---|
| 主期刊名 | Proceedings of the TEPEN International Workshop on Fault Diagnostic and Prognostic - TEPEN2024-IWFDP |
| 编辑 | Tongtong Liu, Fan Zhang, Shiqing Huang, Jingjing Wang, Fengshou Gu |
| 出版商 | Springer Science and Business Media B.V. |
| 页 | 309-324 |
| 页数 | 16 |
| ISBN(印刷版) | 9783031694820 |
| DOI | |
| 出版状态 | 已出版 - 2024 |
| 已对外发布 | 是 |
| 活动 | TEPEN International Workshop on Fault Diagnostics and Prognostics, TEPEN-IWFDP 2024 - Qingdao, 中国 期限: 8 5月 2024 → 11 5月 2024 |
出版系列
| 姓名 | Mechanisms and Machine Science |
|---|---|
| 卷 | 169 MMS |
| ISSN(印刷版) | 2211-0984 |
| ISSN(电子版) | 2211-0992 |
会议
| 会议 | TEPEN International Workshop on Fault Diagnostics and Prognostics, TEPEN-IWFDP 2024 |
|---|---|
| 国家/地区 | 中国 |
| 市 | Qingdao |
| 时期 | 8/05/24 → 11/05/24 |
联合国可持续发展目标
此成果有助于实现下列可持续发展目标:
-
可持续发展目标 7 经济适用的清洁能源
指纹
探究 'Analysis of Battery Capacity Decay and Capacity Prediction' 的科研主题。它们共同构成独一无二的指纹。引用此
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