Gao Sihang, Feng Shaoxuan, Wang Jiyu, Wu Han, Chen Yiduo, Zhang Jiajia, Li Yong, Wang Rui, Luo Xiaoting, Wei Hao, Zeng Xisong
Key Laboratory of Industrial Internet of Things and Networked Control, Ministry of Education, Chongqing University of Posts and Telecommunications, Chongqing 400065, P. R. China.
China-Korea Belt and Road Joint Laboratory on Industrial Internet of Things, Chongqing University of Posts and Telecommunications, Chongqing 400065, P. R. China.
ACS Appl Mater Interfaces. 2023 Jul 26;15(29):34764-34778. doi: 10.1021/acsami.3c04588. Epub 2023 Jul 12.
In this work, based on the triboelectric-electromagnetic working principle, a comprehensive strategy appropriately hybridizes a multilayered elastic structure TENG (ME-TENG) and a double-electromagnetic generator (EMG) for efficient aeolian vibration energy harvesting and vibration state monitoring. The ME-TENG with the feature of elasticity is integrated with a movable plate embedded with a magnet as the counterweight, which acts as a spring-like mass system in response to external vibration excitation, making the inseparable integrity of the TENG and EMG. The basic hybridized triboelectric-electromagnetic aeolian vibration generator (HAVG) consisting of ME-TENG and double-EMGs in terms of structural parameters and response characteristics is first optimized and discussed, thereby the efficient vibration energy harvesting and effective vibration state response can be further improved through the mutual complementarity of TENG and EMG. Furthermore, the self-powered capacity of the HAVG in terms of LED arrays and a wireless ambient temperature and humidity monitoring system is verified through the hybrid charging strategy of TENG and EMG modules and the combination of HVAG and energy management circuits, benefiting from the sophisticated-designed structure and excellent output performance of the HAVG. Importantly, a self-powered aeolian vibration monitoring system is established and demonstrated for vibration-state sensing and abnormal vibration alarm. This work demonstrates a novel strategy for energy harvesting and state sensing of overhead transmission line aeolian vibration, which not only reveals TENG-EMG promising potential for energy harvesting for aeolian vibration, but also provides valuable guidance for the construction of a self-powered online-monitoring system for transmission lines.
在这项工作中，基于摩擦电 - 电磁工作原理，一种综合策略将多层弹性结构摩擦电纳米发电机（ME - TENG）和双电磁发电机（EMG）进行了适当的混合，以实现高效的微风振动能量收集和振动状态监测。具有弹性特征的ME - TENG与嵌入磁铁作为配重的可动板集成在一起，该可动板在外部振动激励下充当类似弹簧的质量系统，使得TENG和EMG成为不可分割的整体。首先对由ME - TENG和双EMG组成的基本混合摩擦电 - 电磁微风振动发电机（HAVG）在结构参数和响应特性方面进行了优化和讨论，从而通过TENG和EMG的相互补充进一步提高高效的振动能量收集和有效的振动状态响应。此外，通过TENG和EMG模块的混合充电策略以及HAVG与能量管理电路的组合，验证了HAVG在LED阵列以及无线环境温度和湿度监测系统方面的自供电能力，这得益于HAVG精心设计的结构和出色的输出性能。重要的是，建立并展示了一种用于振动状态传感和异常振动报警的自供电微风振动监测系统。这项工作展示了一种用于架空输电线路微风振动能量收集和状态传感的新策略，不仅揭示了TENG - EMG在微风振动能量收集中的广阔潜力，而且为输电线路自供电在线监测系统的构建提供了有价值的指导。
