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使用先进分子动力学模拟对含聚合物材料的超级电容器比能量进行预测

Prediction of the Specific Energy of Supercapacitors with Polymeric Materials Using Advanced Molecular Dynamics Simulations.

作者信息

Ionescu Daniela, Kovaci Maria

机构信息

Department of Telecommunications and Information Technologies, Faculty of Electronics, Telecommunications and Information Technologies, "Gheorghe Asachi" Technical University of Iasi, Carol I Blvd., No. 11, 700506 Iasi, Romania.

Department of Communications, Faculty of Electronics, Telecommunications and Information Technologies, "Politehnica" University of Timisoara, V. Pârvan Blvd., No. 2, 300223 Timisoara, Romania.

出版信息

Polymers (Basel). 2024 Dec 3;16(23):3404. doi: 10.3390/polym16233404.

DOI:10.3390/polym16233404
PMID:39684149
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11644355/
Abstract

Supercapacitor/pseudocapacitor structures with electrodes and electrolytes based on conductive polymers, but not only, have been analyzed using techniques. Results indicated in the literature were used to confirm the results obtained for the specific capacitance and energetic performances of the systems. New material classes like Polymer-MXene electrodes ((PANI)/TiC, PFDs/TiCT) present increased capacitance in comparison with simple polymeric composites (PETC or PTh). Combinations of polymers and metallic oxide, like PANI/VO, present high capacitance, but new variants can provide improved performance. Different techniques, like electrode doping, adding different salts in the electrolyte (gel electrolyte), and using porous electrodes, can also improve performance. Steps for the non-invasive simulation method with HFSS (Ansys) are defined, and the materials are described at the molecular level as well as the interactions between atomic groups. Macroscopic properties of the system are determined (conductivity, specific energy) and represented on parametric graphs. A complex set of parameters is varied in order to optimize the structures through parameter correlation. Different stages of correlation are considered in order to establish the final sample design and improve energetic performance. An increase of about 8-28% can be obtained concerning the specific energy of the supercapacitor. Prediction, design, atypical behavior, and resonance are addressed using this technique.

摘要

基于导电聚合物(但不仅限于此)的具有电极和电解质的超级电容器/赝电容器结构已通过多种技术进行了分析。文献中指出的结果被用于证实所获得的系统比电容和能量性能的结果。与简单的聚合物复合材料(PETC或PTh)相比,诸如聚合物-MXene电极((PANI)/TiC、PFDs/TiCT)等新型材料类别具有更高的电容。聚合物与金属氧化物的组合,如PANI/VO,具有高电容,但新的变体可以提供更好的性能。不同的技术,如电极掺杂、在电解质(凝胶电解质)中添加不同的盐以及使用多孔电极,也可以提高性能。定义了使用HFSS(Ansys)进行非侵入式模拟的步骤,并在分子水平上描述了材料以及原子团之间的相互作用。确定了系统的宏观性质(电导率、比能量)并在参数图上表示出来。通过参数关联来改变一组复杂的参数,以优化结构。考虑了不同阶段的关联,以确定最终的样品设计并提高能量性能。超级电容器的比能量可提高约8%-28%。使用该技术解决了预测、设计、非典型行为和共振等问题。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48e2/11644355/bd70e35bb7aa/polymers-16-03404-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48e2/11644355/d0a7a9d1b260/polymers-16-03404-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48e2/11644355/9b701f3e47e5/polymers-16-03404-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48e2/11644355/396c8391f847/polymers-16-03404-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48e2/11644355/3e43ef07160c/polymers-16-03404-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48e2/11644355/a5d17c81f083/polymers-16-03404-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48e2/11644355/90ca9149c427/polymers-16-03404-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48e2/11644355/6f47b1e02359/polymers-16-03404-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48e2/11644355/36a2297fcb20/polymers-16-03404-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48e2/11644355/9ea34d8e2c0f/polymers-16-03404-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48e2/11644355/bd70e35bb7aa/polymers-16-03404-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48e2/11644355/d0a7a9d1b260/polymers-16-03404-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48e2/11644355/9b701f3e47e5/polymers-16-03404-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48e2/11644355/396c8391f847/polymers-16-03404-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48e2/11644355/3e43ef07160c/polymers-16-03404-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48e2/11644355/a5d17c81f083/polymers-16-03404-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48e2/11644355/90ca9149c427/polymers-16-03404-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48e2/11644355/6f47b1e02359/polymers-16-03404-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48e2/11644355/36a2297fcb20/polymers-16-03404-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48e2/11644355/9ea34d8e2c0f/polymers-16-03404-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48e2/11644355/bd70e35bb7aa/polymers-16-03404-g005.jpg

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