离子
材料科学
多光谱图像
储能
过程(计算)
计算机数据存储
纳米技术
普鲁士蓝
水溶液
计算机科学
电化学
电极
化学
计算机硬件
人工智能
物理
功率(物理)
有机化学
物理化学
量子力学
操作系统
作者
Peng Sun,Zhong Ji,Meijia Qiu,Yujin Liu,Kai Han,Naheng Chen,Sheng Wang,Wenjie Mai
标识
DOI:10.1002/aenm.202302846
摘要
Abstract Real‐time monitoring of the dynamic charging process and state‐of‐charge inside energy storage systems is crucial for ensuring their sustainable operation. Here, a novel computational multispectral imaging reconstruction (MSIRC) strategy is presented using a smartphone for in situ monitoring of the optical states of aqueous batteries via transparent monitoring window, allowing analysis of ion storage chemistry and real‐time capacity variations. Prussian blue and MnO 2 that exhibit significant and subtle color changes during the ion storage process are selected to validate this approach. Time‐domain reconstructed reflectance spectra are capable of selecting the proper wavelength with the largest variation in reconstructed reflectance and precisely monitor the ion storage process of these two materials. This indicates MSIRC's rapidly distinguishing capability between electrodes with unique ion storage mechanisms and great potential in recognizing new materials with unknown mechanisms. Furthermore, the MSIRC technique can perform operando monitoring for several kinds of Zn ion batteries using cathodes with different ion storage mechanisms. These imply the ability of MSIRC to detect the real‐time healthy state of batteries at the device level and judge the inside varying ion storage mechanism.
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