磷酸铁锂
计算机科学
电压
负载平衡(电力)
荷电状态
电池(电)
算法
电气工程
工程类
功率(物理)
数学
几何学
物理
网格
量子力学
作者
Xiaopeng Tang,Changfu Zou,Torsten Wik,Kexin Yao,Yongxiao Xia,Yujie Wang,Duo Yang,Furong Gao
标识
DOI:10.1109/tpel.2019.2919709
摘要
Lithium iron phosphate battery packs are widely employed for energy storage in electrified vehicles and power grids. However, their flat voltage curves rendering the weakly observable state of charge are a critical stumbling block for charge equalization management. This paper focuses on real-time active balancing of series-connected lithium iron phosphate batteries. In the absence of accurate in-situ state information in the voltage plateau, a balancing current ratio (BCR) based algorithm is proposed for battery balancing. Then, BCR-based and voltage-based algorithms are fused, responsible for the balancing task within and beyond the voltage plateau, respectively. The balancing process is formulated as a batch-based run-to-run control problem, as the first time in the research area of battery management. The control algorithm acts in two timescales, including time-wise control within each batch run and batch-wise control at the end of each batch. Hardware-in-the-loop experiments demonstrate that the proposed balancing algorithm is able to release 97.1% of the theoretical capacity and can improve the capacity utilization by 5.7% from its benchmarking algorithm. Furthermore, the proposed algorithm can be coded in C language with the binary code in 118,328 bytes only and thus is readily implementable in real-time.
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