摘要
Lithium-ion batteries (LIBs) are widely used in electric vehicles (EVs) attributed to their advantages of high energy density and long cycle life. In this vision, fast charging of the LIB system has been a crucial technology to promote the large-scale penetration of EVs in the existing automotive market. Motivated by this, a thermal-constrained fast charging method is proposed based on the model predictive control (MPC) concept in this paper. A coupled electro-Thermal model is established, based on which two model-based observers are devised to estimate the state of charge (SOC) and internal temperature of LIB. On this premise, an MPC-based controller is exploited to trade-off smartly the charging fastness and the physical constraints. Comparative results show that the proposed method can optimize the charging towards high speed while keep the terminal voltage and battery internal temperature both within the safety region, which forms an obvious superiority over the traditionally-used constant-current-constant-voltage (CC-CV) protocol.
| 源语言 | 英语 |
|---|---|
| 主期刊名 | Proceedings - 2020 IEEE 18th International Conference on Industrial Informatics, INDIN 2020 |
| 出版商 | Institute of Electrical and Electronics Engineers Inc. |
| 页 | 615-620 |
| 页数 | 6 |
| ISBN(电子版) | 9781728149646 |
| DOI | |
| 出版状态 | 已出版 - 20 7月 2020 |
| 活动 | 18th IEEE International Conference on Industrial Informatics, INDIN 2020 - Virtual, Warwick, 英国 期限: 21 7月 2020 → 23 7月 2020 |
丛书
| 姓名 | IEEE International Conference on Industrial Informatics (INDIN) |
|---|---|
| 卷 | 2020-July |
| ISSN(印刷版) | 1935-4576 |
会议
| 会议 | 18th IEEE International Conference on Industrial Informatics, INDIN 2020 |
|---|---|
| 国家/地区 | 英国 |
| 市 | Virtual, Warwick |
| 时期 | 21/07/20 → 23/07/20 |
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:
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可持续发展目标 7 经济适用的清洁能源
学术指纹
探究 'Predictive Fast Charging of Lithium-ion Battery with Electro-Thermal Constraints' 的科研主题。它们共同构成独一无二的学术指纹。引用此
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