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A novel method reflecting mechanical-electrical conversion process of triboelectric nanogenerators and its application in human-machine interaction
Nano Energy ( IF 16.8 ) Pub Date : 2024-11-01 , DOI: 10.1016/j.nanoen.2024.110427
Xu Liu, Haotian Tian, Zifa Wang, Chaoqun Nie, Puen Zhou, Yuanzheng Zhang, Jiawei Zhang, Fangqi Chen, Yonghui Wu, Haiwu Zheng

Triboelectric nanogenerators (TENGs) provide interpretable electrical signals to characterize mechanical motion processes during energy conversion, making them suitable sensors for applications in human-machine interaction, human motion characterization, and health monitoring. Nevertheless, the accurate characterization of the mechanical-electrical conversion process and improvement of sensor reliability necessitates the establishment of highly precise quantitative relationships between electrical signals and movement of TENGs. In this study, we propose a method for the accurate analysis of the continuous movement state of TENG, which allows for the successful reflection the mechanical-electrical conversion process of three types of TENG based on a unique charge detection circuit. The charge detection circuit, constructed from low-cost electronic components, is able to convert the weak charge signal from the TENG into a modest voltage signal, allowing seamless integration into a conventional electronic system. Subsequently, based on the method, we demonstrate the detection of charge output at the millimeter scale of TENG movement as well as the control of a manipulator by the electrical charge output generated by the finger. In addition, a portable multi-channel signal acquisition system was designed to enable the characterization of diversified gestures. This work not only provides an inexpensive and reliable solution for TENG-based sensing applications in the extraction of movement information but also promotes the engineering applications of triboelectric sensors to some extent.

中文翻译:


一种反映摩擦纳米发电机机电转换过程的新方法及其在人机交互中的应用



摩擦纳米发电机 (TENG) 提供可解释的电信号来表征能量转换过程中的机械运动过程,使其成为人机交互、人体运动表征和健康监测应用的合适传感器。然而,准确表征机电转换过程和提高传感器可靠性需要在电信号和 TENG 运动之间建立高精度的定量关系。在这项研究中,我们提出了一种准确分析 TENG 连续运动状态的方法,该方法基于独特的电荷检测电路成功反映了三种 TENG 的机电转换过程。电荷检测电路由低成本电子元件构成,能够将来自 TENG 的微弱电荷信号转换为适度的电压信号,从而可以无缝集成到传统电子系统中。随后,基于该方法,我们演示了 TENG 运动毫米级电荷输出的检测,以及通过手指产生的电荷输出来控制机械手。此外,还设计了一种便携式多通道信号采集系统,以实现对多样化手势的表征。这项工作不仅为基于 TENG 的传感应用在运动信息提取方面提供了一种廉价可靠的解决方案,而且在一定程度上促进了摩擦电传感器的工程应用。
更新日期:2024-11-01
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