电解质
无机化学
高氯酸钠
电容器
分析化学(期刊)
电化学
法拉第效率
电化学电位
半电池
高氯酸盐
化学
水溶液
活性炭
化学工程
电极
工作电极
电压
电气工程
离子
色谱法
有机化学
工程类
物理化学
吸附
作者
Saida Gharouel,François Béguin
标识
DOI:10.1016/j.electacta.2023.142212
摘要
A maximum cell potential of 2.3 V has been claimed in the literature for an electrical double-layer capacitor (EDLC) in 17 mol kg −1 NaClO 4 water-in-salt (WIS) electrolyte. Puzzled by this high cell potential compared to e.g., 1.8 V for an EDLC in 20 mol kg −1 LiTFSI, and by the fact that the high electrochemical stability window (ESW) values reported in 17 mol kg −1 NaClO 4 were obtained only on non-porous electrodes, this contribution intends to carefully revisit the electrochemical properties of EDLCs based on this WIS electrolyte. Herein, an appropriate electrochemical approach was used to identify precisely the ESW of an activated carbon (AC) electrode (made from the YP50F carbon) and cell potential of electrical double-layer capacitors (EDLCs) when using an aqueous NaClO 4 solution. It was found that the ESW is pushed from 1.7 V to 1.8 V and 2.0 V when increasing the NaClO 4 concentration from 2 mol kg −1 to 10 mol kg −1 and 17 mol kg −1 , respectively. In 17 mol kg −1 NaClO 4 , the comparison of the stability limits of the AC electrode with the potential limits of electrodes (determined by galvanostatic cycling) in a symmetric AC/AC cell equipped with a silver quasi-reference electrode (AgQRE) led us to the conclusion that the maximum voltage of the EDLC is only 1.9 V. Furthermore, the determination of the coulombic and energy efficiency of AC/AC coin cells in 17 mol kg −1 WIS NaClO 4 electrolyte, as well as the electrochemical impedance spectroscopy measurements vs cell potential indicated an operative value of 1.8 V; this value was accurately confirmed by long term potentiostatic floating. Hence, these careful investigations demonstrate that inappropriate experimental conditions to determine the performance of EDLCs, as reported in the literature, may lead to completely biased results.
科研通智能强力驱动
Strongly Powered by AbleSci AI