Modeling and Mitigating the Cycle Aging Cost of Vehicle Batteries in Energy Transportation Nexus
文献类型：期刊论文
| 作者 | Li, Shuangqi1,2; Zhao, Pengfei3,4; Gu, Chenghong1; Bu, Siqi5,6; Li, Jianwei1 ; Cheng, Shuang1
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| 刊名 | IEEE TRANSACTIONS ON SMART GRID
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| 出版日期 | 2024-03-01 |
| 卷号 | 15期号:2页码:1902-1912 |
| 关键词 | Batteries Aging Degradation Energy management Mathematical models Vehicle-to-grid Computational modeling Electric vehicle battery management hybrid vehicle energy management vehicle grid integration battery aging mechanism priority experience imitative learning |
| ISSN号 | 1949-3053 |
| DOI | 10.1109/TSG.2023.3296328 |
| 通讯作者 | Gu, Chenghong(C.Gu@bath.ac.uk) |
| 英文摘要 | There is a critical need to protect batteries from degradation to achieve the benefit of electric vehicles (EVs) in the energy and transportation sectors. However, existing battery degradation models have either failed to reflect the actual battery cycle aging mechanism, or are too complex for practical vehicle energy management. This paper presents a new approach for the efficient integration of battery cycles aging mechanisms into vehicle energy management by a prioritized experience-driven imitative learning (PExp-IL) framework. A prioritized degradation experience pool is constructed by comprehensively analyzing battery cycle aging mechanisms in vehicle standard driving schedules. Battery cycle aging features are mathematically presented by learning the expert experience that characterizes its degradation under different working conditions imitatively. The battery protective target is achieved by integrating the established gradient aging model into a vehicle energy management optimization problem. With the anti-aging policy gradient, battery aging mitigation can be easily incorporated into vehicle energy management scenarios that highly depend on algorithm computation efficiency. Two detailed demonstrative cases are further constructed to realize the anti-aging battery management in hybrid vehicles and grid integration of EVs. This approach provides a new practical solution for improving vehicle total economy by mitigating battery aging costs, which can contribute to net zero in the energy-transportation nexus. |
| WOS研究方向 | Engineering |
| 语种 | 英语 |
| WOS记录号 | WOS:001174148100052 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 源URL | [http://ir.ia.ac.cn/handle/173211/58035]  |
| 专题 | 舆论大数据科学与技术应用联合实验室 |
| 通讯作者 | Gu, Chenghong |
| 作者单位 | 1.Univ Bath, Dept Elect & Elect Engn, Bath BA2 7AY, England 2.Hong Kong Polytech Univ, Dept Elect Engn, Hong Kong, Peoples R China 3.Chinese Acad Sci, Inst Automat, Beijing 100090, Peoples R China 4.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100190, Peoples R China 5.Hong Kong Polytech Univ, Shenzhen Res Inst, Ctr Advances Reliabil & Safety, Dept Elect Engn, Hong Kong, Peoples R China 6.Hong Kong Polytech Univ, Res Inst Smart Energy, Hong Kong, Peoples R China |
| 推荐引用方式 GB/T 7714 | Li, Shuangqi,Zhao, Pengfei,Gu, Chenghong,et al. Modeling and Mitigating the Cycle Aging Cost of Vehicle Batteries in Energy Transportation Nexus[J]. IEEE TRANSACTIONS ON SMART GRID,2024,15(2):1902-1912. |
| APA | Li, Shuangqi,Zhao, Pengfei,Gu, Chenghong,Bu, Siqi,Li, Jianwei,&Cheng, Shuang.(2024).Modeling and Mitigating the Cycle Aging Cost of Vehicle Batteries in Energy Transportation Nexus.IEEE TRANSACTIONS ON SMART GRID,15(2),1902-1912. |
| MLA | Li, Shuangqi,et al."Modeling and Mitigating the Cycle Aging Cost of Vehicle Batteries in Energy Transportation Nexus".IEEE TRANSACTIONS ON SMART GRID 15.2(2024):1902-1912. |
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