期刊
JOURNAL OF POWER SOURCES
卷 247, 期 -, 页码 460-466出版社
ELSEVIER
DOI: 10.1016/j.jpowsour.2013.09.012
关键词
Electric vehicle; Battery pack; Cell variations; Cell equalization; Fuzzy logic; Charging voltage
资金
- MOST (Ministry of Science and Technology) of China [2010DFA72760, 2011AA11A269, 2013BAG16B01]
- MOE (Ministry of Education) of China [2012DFA81190]
- Beijing science and technology plan [Z121100007912001]
In the first part of this work, we propose dissipative cell equalization (DCE) algorithm based on remaining charging capacity estimation (RCCE) and establish a pack model with 8 cells in series. The results show that RCCE-DCE algorithm is suitable for on-line equalization in electric vehicles (EVs) and no over-equalization happens. However, 1% pack capacity difference from the DCE theoretical pack capacity is observed with RCCE-DCE algorithm. Therefore, as the second part of the series, we propose fuzzy logic (FL) DCE algorithm based on charging cell voltage curves (CCVCs). Cell capacities and SOCs are fuzzily identified in FL-DCE algorithm by comparing cell voltages at the beginning and end of charging. Adaptive FL-DCE is further improved to prevent over-equalization and maintain the equalization capability. The simulation results show that pack capacity difference from the DCE theoretical pack capacity with the adaptive FL-DCE is smaller than that with RCCE-DCE algorithm, and the duration of the infant stage is also shorter. The proposed adaptive FL-DCE is suitable for on-line equalization in EVs and well prevents over-equalization. (C) 2013 Elsevier B.V. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据