Aging Mitigation for Battery Energy Storage System in Electric Vehicles
文献类型：期刊论文
| 作者 | Li, Shuangqi4,5,6; Zhao, Pengfei1,2; Gu, Chenghong5; Li, Jianwei5 ; Huo, Da3; Cheng, Shuang5
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| 刊名 | IEEE TRANSACTIONS ON SMART GRID
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| 出版日期 | 2023-05-01 |
| 卷号 | 14期号:3页码:2152-2163 |
| 关键词 | Batteries Aging Energy management Vehicle-to-grid Costs Mathematical models US Department of Defense Battery energy storage system electric vehicle battery aging assessment battery aging mitigation energy management vehicle power distribution vehicle to~grid |
| ISSN号 | 1949-3053 |
| DOI | 10.1109/TSG.2022.3210041 |
| 通讯作者 | Gu, Chenghong(c.gu@bath.ac.uk) |
| 英文摘要 | Battery energy storage systems (BESS) have been extensively investigated to improve the efficiency, economy, and stability of modern power systems and electric vehicles (EVs). However, it is still challenging to widely deploy BESS in commercial and industrial applications due to the concerns of battery aging. This paper proposes an integrated battery life loss modeling and anti-aging energy management (IBLEM) method for improving the total economy of BESS in EVs. The quantification of BESS aging cost is realized by a multifactorial battery life loss quantification model established by capturing aging characteristics from cell acceleration aging tests. Meanwhile, a charging event analysis method is proposed to deploy the built life loss model in vehicle BESS management. Two BESS active anti-aging vehicle energy management models: vehicle to grid (V2G) scheduling and plug-in hybrid electric vehicle (PHEV) power distribution, are further designed, where the battery life loss quantification model is used to generate the aging cost feedback signals. The performance of the developed method is validated on a V2G peak-shaving simulation system and a hybrid electric vehicle. The work in this paper presents a practical solution to quantify and mitigate battery aging costs by optimizing energy management strategies and thus can further promote transportation electrification. |
| WOS关键词 | MANAGEMENT ; PERFORMANCE |
| WOS研究方向 | Engineering |
| 语种 | 英语 |
| WOS记录号 | WOS:000976141300038 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 源URL | [http://ir.ia.ac.cn/handle/173211/53257]  |
| 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.Chinese Acad Sci, Inst Automat, Beijing 100090, Peoples R China 2.Univ Chinese Acad Sci, Sch ArtificialIntelligence, Beijing 100190, Peoples R China 3.Cranfield Univ, Sch Water Energy & Environm, Cranfield MK43 0AL, England 4.Hong Kong Polytech Univ, Dept Elect Engn, Hong Kong, Peoples R China 5.Univ Bath, Dept Elect & Elect Engn, Bath BA2 7AY, England 6.Beijing Inst Technol, Natl Engn Lab Elect Vehicles, Beijing 100081, Peoples R China |
| 推荐引用方式 GB/T 7714 | Li, Shuangqi,Zhao, Pengfei,Gu, Chenghong,et al. Aging Mitigation for Battery Energy Storage System in Electric Vehicles[J]. IEEE TRANSACTIONS ON SMART GRID,2023,14(3):2152-2163. |
| APA | Li, Shuangqi,Zhao, Pengfei,Gu, Chenghong,Li, Jianwei,Huo, Da,&Cheng, Shuang.(2023).Aging Mitigation for Battery Energy Storage System in Electric Vehicles.IEEE TRANSACTIONS ON SMART GRID,14(3),2152-2163. |
| MLA | Li, Shuangqi,et al."Aging Mitigation for Battery Energy Storage System in Electric Vehicles".IEEE TRANSACTIONS ON SMART GRID 14.3(2023):2152-2163. |
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