电池(电)
锂(药物)
航程(航空)
锂离子电池
荷电状态
高效能源利用
灵敏度(控制系统)
工作(物理)
放松(心理学)
汽车工程
磷酸铁锂
材料科学
数学
电气工程
工程类
电子工程
热力学
机械工程
物理
复合材料
功率(物理)
内分泌学
社会心理学
医学
心理学
作者
Xiaojia Su,Bingxiang Sun,Jingyu Wang,Haijun Ruan,Weige Zhang,Yan Bao
标识
DOI:10.1016/j.est.2023.107793
摘要
Accurate measurement of the energy efficiency of lithium-ion batteries is critical to the development of efficient charging strategies. Energy efficiency is discussed in published work from the perspective of cell design, more than that, the insufficient probe of stresses influencing the energy efficiency of commercialized batteries while the conclusions coupled with the effect of battery temperature rise have limited engineering guidance value. Few papers specify test profiles for energy efficiency baseline. This paper designs a charging energy efficiency (CEE) test profile to present an offline map of baseline value for commercial ternary lithium-ion batteries. The time-frequency domain impedance characteristics are analyzed based on the distribution of relaxation times, providing a mechanistic explanation of the CEE evolution. The contributions of temperature, capacity-rate (C-rate), and state of charge (SOC) to the CEE are quantified by global sensitivity analysis and range statistics. The findings show that the proposed profile decouples the effect of temperature rise under forced convection conditions, and has an error of less than 0.04 % for 3 cycles compared to the FreedomCAR guidance of at least 10 cycles. The CEE-SOC curve shape is similar to "M", which is attributed to the impedance curve shape of "W", breaking the previous inherent experience of "lower impedance in the middle SOC". The median of the Map is 0.964, concomitantly the outlier points are concentrated below 0.887 at 10 °C. The global sensitivity analysis carried out by the Sobol method and the range statistical indicates that the importance ranked is C-rate > Temperature > SOC, with the range statistical of each stress being 11.8 %, 10.223 %, and 7.51 %, respectively, as well as the total-order Sobol indexes being 0.56, 0.439, and 0.066, which is beneficial for optimizing the operating SOC interval of lithium-ion batteries and guiding the development of fast charging strategies.
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