SnO2 induced electrostatic polarization PVDF composite nanofibers for efficient energy harvesting and self-powered wireless monitoring /motion recognition systems

纳米纤维 能量收集 复合数 极化(电化学) 无线 材料科学 光电子学 纳米技术 能量(信号处理) 计算机科学 复合材料 物理 电信 化学 物理化学 量子力学
作者
Bozhi Wu,Yongqiang Yang,Lei Wang,Hui Xu,Yuheng Huang,Jiahong Kang,Yuwei Xiong,Kuibo Yin,Meng Nie,Litao Sun
出处
期刊:Chemical Engineering Journal [Elsevier BV]
卷期号:495: 153483-153483 被引量:5
标识
DOI:10.1016/j.cej.2024.153483
摘要

With the rapid development of the Internet of Things and flexible electronics, piezoelectric nanogenerators (PENGs) based on polyvinylidene fluoride (PVDF) have demonstrated a wide range of potential applications in wearable devices. However, there are still challenges in developing high-performance PENGs, which affect their potential applications in more scenarios. Herein, we propose a SnO2-PVDF (SP)-PENG based on low-cost and environment-friendly SnO2 nanoparticles modulated via electrospinning, achieving outstanding piezoelectric output performance. The piezoelectric output of SP-PENG is up to 49.2 V, which is 11.7 times higher than that of pure PVDF-PENG. From the theoretical perspective, the enhanced electrostatic polarization is achieved by the strengthened local electric field due to the presence of low-resistivity SnO2 in the SP fibers. The mechanism of enhanced electrostatic polarization is also declared by COMSOL simulation. Moreover, the SP-PENG exhibits excellent durability (41,600 cycles) and long-term stability (8 months). A self-powered wireless sensing-monitoring system is realized by combining SP-PENG with circuit design. The motion recognition system is accomplished by integrating an assistance of a 1D CNN-LSTM joint learning model, which is verified by an alphabetic handwriting recognition with a classification accuracy up to 100 %. This study provides significant insights for enhancing the performance of PENGs and offers valuable guidance for exploring the application of PENGs in flexible electronics and artificial intelligence.
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