An approach to classification and capacitance expressions in electrochemical capacitors technology
文献信息
Silvia Roldán, Daniel Barreda, Marcos Granda, Rosa Menéndez, Ricardo Santamaría, Clara Blanco
The proliferation of novel types and designs of electrochemical capacitors makes it necessary to obtain a better understanding of the behavior of these systems together with a more systematic classification of them. In this study a rational classification of supercapacitors based on the charge storage mechanism and the active material of each electrode is proposed. The internationally accepted terminology – the terms symmetric, asymmetric and hybrid – is also clarified in an attempt to standardize the current definitions and facilitate the systematic classification of each device. Additionally, the selection of suitable mathematical expressions to calculate the capacitance of each kind of system is rationalized throughout the discussion taking into account the behavioral characteristics of each electrode. An examination of the potential evolution profile of each electrode during the galvanostatic cycling of the supercapacitor is presented as a key tool for understanding the fundamental behavior of these devices.
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来源期刊
Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.










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