Novel methods for estimating lithium-ion battery state of energy and maximum available energy
Novel methods for estimating lithium-ion battery state of energy and maximum available energy
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DOI：
10.1016/j.apenergy.2016.06.031
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发表时间：
2016-09
期刊：
影响因子：
11.2
通讯作者：
Linfeng Zheng;Jianguo Zhu;Guoxiu Wang;Tingting He;Yiying Wei
中科院分区：
文献类型：
--
作者：
Linfeng Zheng;Jianguo Zhu;Guoxiu Wang;Tingting He;Yiying Wei
电池的能量状态（SOE）可以直接确定电池的剩余能量和最大可用能量之间的比例，这对于储能系统的能量优化和管理至关重要。本文综合分析了环境温度、电池充放电电流和电池老化程度对电池最大可用能量和SOE的依赖关系。提出了limn2o4电池电池SOE与荷电状态（SOC）之间的明确定量关系，并采用移动窗口能量积分技术估算电池最大可用能量。实验结果表明，该方法能较准确地估计出电池的最大可用能量和SOE。系统地评估了所提出的方法对各种操作条件和细胞老化水平的鲁棒性。
The battery state of energy (SOE) allows a direct determination of the ratio between the remaining and maximum available energy of a battery, which is critical for energy optimization and management in energy storage systems. In this paper, the ambient temperature, battery discharge/charge current rate and cell aging level dependencies of battery maximum available energy and SOE are comprehensively analyzed. An explicit quantitative relationship between SOE and state of charge (SOC) for LiMn2O4battery cells is proposed for SOE estimation, and a moving-window energy-integral technique is incorporated to estimate battery maximum available energy. Experimental results show that the proposed approaches can estimate battery maximum available energy and SOE with high precision. The robustness of the proposed approaches against various operation conditions and cell aging levels is systematically evaluated.