能量收集
功率(物理)
摩擦电效应
电气工程
能量(信号处理)
无线
电容器
电子工程
能量转换
电源管理
高效能源利用
动力传输
计算机科学
工程类
无线传感器网络
传输(电信)
振动
发电机(电路理论)
电压
能量转换效率
电力传输
机械能
汽车工程
能源
加速度
最大功率原理
能源管理
混合动力
工作(物理)
发电
纳米发生器
电势能
功率平衡
风力发电
无线电频率
作者
Fuzhen Xing,Jingyi Liu,Hongyong Yu,Yawei Wang,Hengxu Du,Ziyue Xi,Yizhou Li,Yaozi Zheng,Ye Zhang,Guobiao Hu,Minyi Xu
标识
DOI:10.1088/1361-665x/ae6958
摘要
Abstract Vibration is ubiquitous in industrial environments, such as transportation systems and marine structures, offering a promising energy source for developing self-powered sensing systems. However, most existing vibration energy harvesters rely on a single transduction mechanism, which limits output performance, energy utilization efficiency, and system-level applicability. To address these limitations, we propose a vertically integrated electromagnetic-triboelectric hybrid vibration energy harvester (VI-HVEH), in which an electromagnetic generator (EMG) and a triboelectric nanogenerator (TENG) are compactly stacked and synergistically coupled. This work distinguishes itself by integrating two distinct energy transduction mechanisms within a compact architecture, enabling complementary energy conversion and improved energy utilization efficiency. Experimental results show that both the EMG and TENG units achieve optimal performance at an excitation frequency of about 20 Hz. At an acceleration level of 5 G, the EMG unit delivers a maximum output power of 521.43 mW with a low-voltage, high-current output, while the TENG unit produces a peak power of 128.41 mW with high-voltage, low-current characteristics. To efficiently regulate the pulsed high-voltage output of the TENG, a dedicated power management circuit comprising a gas discharge tube is employed, significantly enhancing the utilization efficiency of high-voltage pulses. By leveraging these complementary characteristics, the hybrid system exhibits accelerated capacitor charging and improved overall energy harvesting efficiency. Finally, a fully self-powered wireless sensing system is developed and demonstrated, achieving stable sensing and wireless data transmission without any external power supply. The integration of compact hybrid integration, effective energy management, and system-level validation highlights the novelty and practical applicability of the proposed VI-HVEH, providing a scalable solution for autonomous wireless monitoring in vibration-rich environments.
科研通智能强力驱动
Strongly Powered by AbleSci AI