摘要
The prognosis and health management (PHM) technology of lithium-ion batteries helps reduce the probability of failure and improve the service time by analyzing current reliability and formulating a comprehensive control strategy. Analysis and forecasting of battery failure are key components of battery PHM technology. This article examines the state of research on the main PHM technologies, such as reliability analysis, testing, and growth technology, failure diagnosis and early warning algorithms, failure model based on digital twin technology, and fault analysis and probability prediction. And the article introduced the general architecture for PHM technology on cloud battery management systems for electric vehicles. The advantages and disadvantages of existing technologies are summarized, and the challenges and future perspectives of PHM technology are prospected.
| 投稿的翻译标题 | Advances in prognosis and health management technologies of lithium-ion batteries |
|---|---|
| 源语言 | 繁体中文 |
| 页(从-至) | 1490-1502 |
| 页数 | 13 |
| 期刊 | Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics |
| 卷 | 51 |
| 期 | 5 |
| DOI | |
| 出版状态 | 已出版 - 5月 2025 |
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
关键词
- digital twin
- failure diagnosis
- lithium-ion batteries
- prognosis and health management
- reliability
指纹
探究 '锂离子电池故障预测及健康管理技术进展' 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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