均衡(音频)
电池组
电压
电池(电)
计算机科学
系列(地层学)
模糊逻辑
控制理论(社会学)
电子工程
工程类
算法
电气工程
功率(物理)
物理
解码方法
古生物学
人工智能
生物
量子力学
控制(管理)
作者
Yuejiu Zheng,Minggao Ouyang,Languang Lu,Jianqiu Li,Xuebing Han,Liangfei Xu
标识
DOI:10.1016/j.jpowsour.2013.09.012
摘要
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.
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