首页> 外文期刊>Chemistry of Materials: A Publication of the American Chemistry Society >Synchrotron Operando Depth Profiling Studies of State-of-Charge Gradients in Thick Li(Ni0.8Mn0.1Co0.1)O-2 Cathode Films
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Synchrotron Operando Depth Profiling Studies of State-of-Charge Gradients in Thick Li(Ni0.8Mn0.1Co0.1)O-2 Cathode Films

机译:Synchrotron Operando深度分析厚LI(Ni0.8Mn0.1Co0.1)O-2阴极膜的充电状态梯度的深度分析研究

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Higher energy densities in rechargeable batteries can be achieved using thicker cathode films, though it is a challenging endeavor since the electrochemical performance of thick electrodes is substantially worse than that of the conventional thin electrodes due to a variety of transport limitations, which are thus far poorly understood. Operando synchrotron studies have been, for the first time, applied to thick film samples to determine the depth-dependent state of charge (SOC) distribution inside 170 micron thick Li(Ni0.8Mn0.1Co0.1)O-2. cathode films using an unconventional radial diffraction experiment geometry, allowing the SOC to be probed with both high spatial resolution (20 microns) and high temporal resolution (hundreds of time steps) in a single experiment. The resulting data allow the evolution of vertical inhomogeneity within these thick cathode films to be determined during cycling and they reveal a number of unexpected phenomena, such as the continuation of charging at some heights within the cathode during the discharge cycle of the cell. The new availability of comprehensive depth-dependent SOC data will drive the parameterization and advancement of whole-cell models, leading to an improved understanding of large-scale transport phenomena and enhanced capabilities for the rational design of thick electrodes with improved performance.
机译:可以使用较厚的阴极膜实现可充电电池中的更高能量密度,尽管它是一个具有挑战性的努力,因为由于各种传输限制,厚电极的电化学性能基本上比传统薄电极的电化学性能差了解。 Operando同步rotron研究是第一次施加到厚膜样品中,以确定170微米厚Li(Ni0.8Mn0.1Co0.1)O-2内部的深度依赖性电荷状态(SOC)分布。使用非传统径向衍射实验几何形状的阴极膜,使SOC通过高空间分辨率(20微米)和在单个实验中的高空间分辨率(20微米)和高的时间分辨率(数百个时间)探测。得到的数据允许在循环期间确定这些厚阴极膜内的垂直不均匀性的演变,并且它们揭示了许多意想不到的现象,例如在电池的放电循环期间在阴极内的一些高度处的延续充电。全面深度依赖的SOC数据的新可用性将推动整个细胞模型的参数化和进步,从而改善了对大规模传输现象的理解和增强的厚电极结构的能力,具有改进的性能。

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