Triboelectric-piezoelectric-electromagnetic hybrid nanogenerator for high-efficient vibration energy harvesting and self-powered wireless monitoring system
Triboelectric-piezoelectric-electromagnetic hybrid nanogenerator for high-efficient vibration energy harvesting and self-powered wireless monitoring system
复制标题
用于高效振动能量收集和自供电无线监测系统的摩擦电-压电-电磁混合纳米发电机
DOI:
10.1016/j.nanoen.2017.11.039
复制
发表时间:
2018-01-01
期刊:
影响因子:
17.6
通讯作者:
Xue, Chenyang
中科院分区:
文献类型:
--
作者:
He, Jian;Wen, Tao;Xue, Chenyang
Energy harvesting is a key technology for the self-powered mode of wireless sensor nods and mobile terminals. A large number of devices have been developed to convert mechanical energy into electrical energy. Whereas great efforts have been made to improve the output performance, problems like energy dissipation, device life and response range still need to be addressed. Herein, we report a hybridized triboelectric-piezoelectric-electromagnetic nanogenerator efficiently harvesting vibration energy. Three harvest modes are integrated into a single device, whose core component is a magnetic levitation structure. On the one hand, it presents higher sensitivity than conventional spring or cantilever designs due to low energy loss, which favors the tiny energy harvesting like the slapping desk vibration and the running car vibration. On the other hand, the mechanical fatigue or damage can be avoided by the special structure design. Under 20 Hz, triboelectric nanogenerator (TENG) can deliver a peak output power of 78.4 mu W, while the top (EMG2) and the bottom (EMG1) electromagnetic generator can provide a peak output power of 36 mW and 38.4 mW, respectively. Piezoelectric generator located at top (PEG2) and bottom (PEG1) can contribute a peak output power of 122 mW and 105 mW, respectively. The capacitor charge measurement reveals that unit combination performance is remarkably stronger than individual performance, and the combination of TENG + EMG1 + EMG2 + PEG1 + PEG2 has the highest energy harvesting capacity. Finally, this device has been integrated into a wireless sensor system. Results show that the wireless sensor system can be activated and transmit temperature and vibration signal to control computer. This work has a vital significance to the development and application of the internet of things.