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A high-efficient triboelectric-electromagnetic hybrid nanogenerator for vibration energy harvesting and wireless monitoring

A high-efficient triboelectric-electromagnetic hybrid nanogenerator for vibration energy harvesting and wireless monitoring

作     者:Jian HE Xueming FAN Dongyang ZHAO Min CUI Bing HAN Xiaojuan HOU Xiujian CHOU Jian HE;Xueming FAN;Dongyang ZHAO;Min CUI;Bing HAN;Xiaojuan HOU;Xiujian CHOU

作者机构:Science and Technology on Electronic Test and Measurement Laboratory North University of China College of Mechatronic Engineering North University of China Beijing Institute of Computer Application China North Industries Group Corporation Limited 

出 版 物:《Science China(Information Sciences)》 (中国科学:信息科学(英文版))

年 卷 期:2022年第65卷第4期

页      面:229-237页

核心收录:

学科分类:080801[工学-电机与电器] 0808[工学-电气工程] 08[工学] 0807[工学-动力工程及工程热物理] 

基  金:supported by National Key R&D Program of China (Grant Nos. 2019YFF0301802, 2019YFB2004802, 2018YFF0300605) National Natural Science Foundation of China (Grant Nos. 51975541, 51975542) Applied Fundamental Research Program of Shanxi Province (Grant No. 201901D211281) Program for the Innovative Talents of Higher Education Institutions of Shanxi 

主  题:mechanical vibration energy spring structure triboelectric electromagnetic wireless monitoring system 

摘      要:Scavenging mechanical vibration energy by combining triboelectric nanogenerators(TENGs) and electromagnetic generators(EMGs) is a renewable and low-carbon way to generate electric power. In this paper, we fabricate a cylindrical structure hybrid nanogenerator based on spring structure to effectively scavenge vibration energy. The introduction of spring structure not only enhances the space utilization, but also supports the moving magnet. Owing to its innovative structure, the instantaneous output power of TENG and EMG are 0.88 mW at a load of 10 MΩ and 216.7 mW at a load of 60 Ω, respectively. With the aids of a power management circuit, the hybrid nanogenerator can provide continuous power for two hygrothermographs connected in series. In addition, a self-powered wireless acceleration sensing monitoring system(SWAM) is developed to measure the acceleration signals of vibration sources. This study provides a novel guideline for harvesting mechanical vibration energy.

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