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储能系统技术 ★ 5.0

Nd2O3/g-CN复合电极材料的水热合成及其在超级电容器中的应用

Hydrothermal synthesis of Nd2O3/g-CN hybrid electrode material hybrid supercapacitor applications

作者 Mukhtiar Hussain
期刊 Journal of Materials Science: Materials in Electronics
出版日期 2025年1月
卷/期 第 36.0 卷
技术分类 储能系统技术
相关度评分 ★★★★★ 5.0 / 5.0
关键词 Nd2O3 g-CN 超级电容器 水热法 纳米颗粒
语言:

中文摘要

化石燃料的枯竭及其对人类健康的有害影响迫切需要开发替代能源,例如超级电容器(SCs),作为具有高功率输出能力的储能装置。本研究报道了一种简便的水热法用于合成Nd2O3、石墨相氮化碳(g-CN)以及Nd2O3/g-CN复合材料。通过X射线衍射分析确认所获得的Nd2O3纳米颗粒具有六方晶相结构。利用扫描电子显微镜(SEM)观察Nd2O3/g-CN复合材料的形貌特征,结果表明,在Nd2O3纳米颗粒中引入g-CN可有效消除纳米颗粒的团聚现象,同时g-CN的纳米片层结构显著增大了比表面积。Nd2O3/g-CN复合材料在1 A/g电流密度下表现出960 F/g的高比电容(Csp),且所制备的纳米复合结构在经历5000次循环后仍保持稳定。实验结果证实Nd2O3/g-CN复合材料具有优异的电化学性能,显示出其在储能技术领域应用的巨大潜力。

English Abstract

The exhaustion of fossil fuels and its harmful effects on human health demand the development of alternate sources for energy generation such as supercapacitors (SC s ) as useful resources for energy storage with high-power delivery. This study reports a straightforward hydrothermal route for the synthesis of Nd 2 O 3 , (graphitic carbon nitride) g-CN, and Nd 2 O 3 /g-CN hybrid materials. The Nd 2 O 3 nanoparticles observed hexagonal structure phase was confirmed through X-ray diffraction analysis. The morphological characteristics of Nd 2 O 3 /g-CN hybrid are observed through scanning electron microscopy (SEM) which showed that the addition of g-CN in Nd 2 O 3 nanoparticle removed the agglomeration of nanoparticles, and the nanosheets morphology of g-CN enhanced the surface area. Nd 2 O 3 /g-CN hybrid demonstrated specific capacitance (C sp ) of 960 F/g at 1 A/g ( for the prepared nanohybrid structure, which showed stability even after 5000 cycles. The results confirm the exceptional electrochemical properties of Nd 2 O 3 /g-CN hybrid and show their suitability for use in energy storage technologies.
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SunView 深度解读

该Nd2O3/g-CN混合超级电容器材料研究对阳光电源ST系列储能变流器和PowerTitan储能系统具有重要参考价值。其960 F/g比电容和5000次循环稳定性为储能系统功率型应用提供新思路。水热合成法制备的纳米片层结构可优化储能PCS的直流侧电容设计,提升功率密度和循环寿命。该混合电极技术可应用于充电桩快充模块的能量缓冲单元,配合阳光电源GaN功率器件实现高频化小型化。建议在iSolarCloud平台集成超级电容健康管理算法,为储能系统混合拓扑提供技术储备。