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储能系统技术 DAB ★ 5.0

基于绿色淀粉的自降解水凝胶集成柔性超级电容器与智能人体活动状态监测

Green starch-based self-decomposable hydrogels integrating flexible supercapacitors and intelligent human activity state monitoring

作者 Xiaoyu Yanga · Peng Wang · Xuze Tanga · Xiaolong Fana · Shuo Zhang · Yuhang Jina · Boyuan Zheng · Wei Duana · Ying Yuea · Yang Juc
期刊 Energy Conversion and Management
出版日期 2025年1月
卷/期 第 325 卷
技术分类 储能系统技术
技术标签 DAB
相关度评分 ★★★★★ 5.0 / 5.0
关键词 The self-decomposition ability brought by starch helps promote green development.
语言:

中文摘要

摘要 水凝胶广泛应用于柔性能量存储和人体状态检测。随着环保要求的不断提高,水凝胶的可降解性亟需进一步改善。本研究通过将绿色淀粉引入丙烯酰胺(AM)和单宁酸(TA)体系中,实现了水凝胶在可降解性、柔性能量存储以及智能人体运动状态检测方面的协同提升。所制备的水凝胶被进一步组装为超级电容器,在0.8 mA cm⁻²的电流密度下实现了340.4 F g⁻¹的比电容,并在3000次循环后仍保持83.5%的电容保留率。作为柔性传感装置,该水凝胶表现出0.16秒的响应时间,并对不同应变呈现出一致的实时电阻变化率,获得3.77的应变因子(gauge factor)。因此,这种基于淀粉的水凝胶(SAT)在莫尔斯电码编码器以及基于深度学习的智能机械手等方面展现出良好的应用前景,为多功能柔性器件的发展提供了新的思路。

English Abstract

Abstract Hydrogels are widely used in flexible energy storage and human state detection. As environmental protection requirements continue to increase, the degradability of hydrogels needs to be further improved. In this study, by introducing green starch into acrylamide (AM) and tannic acid (TA), the synergistic improvement of degradability, flexible energy storage and intelligent human motion state detection is achieved. These hydrogels were then assembled into supercapacitors, which achieved a capacitance of 340.4 F g −1 at a current density of 0.8 mA cm −2 , with a capacitance retention rate of 83.5 % after 3000 cycles. As flexible sensing devices, the hydrogels exhibited a response time of 0.16 s and provided consistent real-time resistance change rates in response to various strains, yielding a gauge factor of 3.77. Thus, this starch based hydrogls (SAT) demonstrated promising applications as both Morse code encoders and intelligent manipulator based on deep learning , which cast lights on multifunctional flexible devices.
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SunView 深度解读

该淀粉基水凝胶柔性储能技术为阳光电源储能系统提供创新思路。其340.4 F/g比电容和83.5%循环保持率展现优异电化学性能,可启发ST系列PCS在柔性储能场景的拓展。水凝胶的应变传感特性(响应时间0.16s、灵敏度因子3.77)可应用于储能电站智能运维,集成至iSolarCloud平台实现设备形变监测与预测性维护。其可降解特性契合绿色储能理念,为PowerTitan等大型储能系统的环境友好型材料选型提供参考,推动ESS解决方案向柔性化、智能化方向发展。