Institute for Computational Physics, Universität Stuttgart, Allmandring 3, D-70569 Stuttgart, Germany.
J Chem Phys. 2017 Sep 14;147(10):104708. doi: 10.1063/1.4986346.
Nanoporous supercapacitors play an important role in modern energy storage systems, and their modeling is essential to predict and optimize the charging behaviour. Two classes of models have been developed that consist of finite and infinitely long pores. Here, we show that although both types of models predict qualitatively consistent results, there are important differences emerging due to the finite pore length. In particular, we find that the ion density inside a finite pore is not constant, but increases linearly from the pore entrance to the pore end, where the ions form a strongly layered structure. This hinders a direct quantitative comparison between the two models. In addition, we show that although the ion density between the electrodes changes appreciably with the applied potential, this change has a minor effect on charging. Our simulations also reveal a complex charging behaviour, which is adsorption-driven at high voltages, but it is dominated either by co-ion desorption or by adsorption of both types of ions at low voltages, depending on the ion concentration.
纳米多孔超级电容器在现代储能系统中起着重要作用,对其进行建模对于预测和优化充电行为至关重要。已经开发出两类模型,它们由有限和无限长的孔组成。在这里,我们表明,尽管这两种类型的模型预测结果定性上是一致的,但由于有限的孔径长度,会出现一些重要的差异。特别是,我们发现有限孔径内的离子密度不是恒定的,而是从孔口到孔底线性增加,在孔底离子形成了强烈分层的结构。这阻碍了两种模型之间的直接定量比较。此外,我们还表明,尽管电极之间的离子密度随施加的电势发生显著变化,但这种变化对充电的影响很小。我们的模拟还揭示了一种复杂的充电行为,在高电压下是由吸附驱动的,但在低电压下,取决于离子浓度,充电行为主要由同离子解吸或两种类型的离子吸附主导。