Advancements in Enhancement Strategies for Piezoelectric Nanogenerator Output Performance and Their Applications in Self-Powered Sensors

纳米发生器 压电 性能增强 纳米技术 材料科学 计算机科学 电气工程 工程类 医学 物理医学与康复
作者
Dong Gui,Yiman Gao,X. Mi,Baoquan Yao,Zishuo Zhang,Ying Xu,Yang Liu,Yang Liu,Deng‐Guang Yu,Yue Liu,Yue Liu
出处
期刊:ACS Sensors [American Chemical Society]
卷期号:10 (9): 6292-6315 被引量:7
标识
DOI:10.1021/acssensors.5c00050
摘要

Given the increasing prevalence of the Internet of Things (IoT) in various aspects of modern society, issues concerning environmental problems and the limited lifespan of batteries are becoming more acute. As a renewable energy technology with multiple advantages such as environmental friendliness, compact size, and long lifespan, piezoelectric nanogenerators (PENGs) have broad application prospects in wearable devices and self-powered sensors. However, compared to triboelectric nanogenerators (TENGs) and pyroelectric nanogenerators (PyNGs), the output performance of PENG is not ideal, which limits its practical application in sensors. Therefore, it is crucial to develop efficient conversion and high-output PENG. This article starts from this point and summarizes three major strategies to enhance the piezoelectric output of PENG, including chemical doping, fiber orientation, and surface modification. It also elaborates on the mechanisms by which different strategies improve the performance of PENG from the perspectives of dipole orientation and interface interactions. Additionally, the working principles, material selection, and fabrication methods of PENG are discussed in detail, with particular emphasis on the unique advantages of the electrospinning process in enhancing the output performance of PENG. Second, the applications of high-output PENG in human motion detection, physiological medical monitoring, and industrial monitoring are reviewed. Finally, insights and prospects for future research directions and development were proposed, elaborating on the challenges and possible solutions of integrating PENG into large-scale sensor networks or IoT systems in the future from the aspects of energy output, environmental adaptability and reliability, large-scale integration and communication support, as well as cost and manufacturing processes.
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