A method of measuring weak-charge of self-powered sensors based on triboelectric nanogenerator

被引:13
作者
Lei, Wenqian [1 ,2 ]
Lu, Shan [1 ,2 ]
Wang, Qi [1 ,2 ]
Yuan, Pengfei [1 ,2 ]
Yu, Hua [1 ,2 ]
机构
[1] Chongqing Univ, Key Lab Optoelect Technol & Syst, Minist Educ, Chongqing 400044, Peoples R China
[2] Chongqing Univ, Int R&D Ctr Micronano Syst & New Mat Technol, Chongqing 400044, Peoples R China
关键词
Triboelectric nanogenerator; Weak charge signal measurement; Impedance match; Self-powered sensors; Signal sample; PHOTODETECTOR;
D O I
10.1016/j.nanoen.2022.106997
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
Although most the triboelectric nanogenerator sensors use the output voltage signal as the sensing signal, other signals such as current or charge cannot be ignored as sensing signal. TENG sensor is equivalent to a charge source with variable internal capacitance and outputs weak charge signal, which is not convenient for direct application as sensing signal. Therefore, it is essential to study the processing method of the output charge of TENG sensor. In this paper, a preprocessing method based on the output charge signal of TENG sensor is pro-posed to achieve accurate measurement of weak charge. In order to measure the amount of charge transfer output by the TENG device, the characteristics of "virtual ground"(non-inverting terminal grounding) at the inverting input of the inverting operational amplifier is used to transfer the charge signal output by the TENG sensor to the feedback arm capacitor, and the output charge signal is measured by measuring the low impedance and low voltage signal output by the inverting operational amplifier. Then, the reason affecting the character-ization accuracy of the preprocessing method is analyzed theoretically, and the optimization strategy of each component parameter is established. Experiments are carried out with contact-separated mode triboelectric nanogenerator (CS-TENG) and rotary triboelectric nanogenerator (R-TENG) respectively, and the errors of the preprocessing method are controlled within 7% and 5% respectively, which proves the feasibility of the pre-processing method. This provides a new way to extract the charge signal from TENG sensor and is expected to be a new method to characterize the charge signal in TENG energy harvester.
引用
收藏
页数:8
相关论文
共 42 条
[1]   Reviving Vibration Energy Harvesting and Self-Powered Sensing by a Triboelectric Nanogenerator [J].
Chen, Jun ;
Wang, Zhong Lin .
JOULE, 2017, 1 (03) :480-521
[2]   A chaotic pendulum triboelectric-electromagnetic hybridized nanogenerator for wave energy scavenging and self-powered wireless sensing system [J].
Chen, Xin ;
Gao, Lingxiao ;
Chen, Junfei ;
Lu, Shan ;
Zhou, Hong ;
Wang, Tingting ;
Wang, Aobo ;
Zhang, Zhifei ;
Guo, Shifeng ;
Mu, Xiaojing ;
Wang, Zhong Lin ;
Yang, Ya .
NANO ENERGY, 2020, 69
[3]   Self-powered flexible and transparent smart patch for temperature sensing [J].
Chen, Xuexian ;
Ren, Zhongyang ;
Guo, Hang ;
Cheng, Xiaoliang ;
Zhang, Haixia .
APPLIED PHYSICS LETTERS, 2020, 116 (04)
[4]   Theoretical and experimental investigation into the asymmetric external charging of Triboelectric Nanogenerators [J].
Dharmasena, R. D. I. G. ;
Wijayantha, K. G. U. .
NANO ENERGY, 2021, 90
[5]   A unified theoretical model for Triboelectric Nanogenerators [J].
Dharmasena, R. D. I. G. ;
Jayawardena, K. D. G. I. ;
Mills, C. A. ;
Dorey, R. A. ;
Silva, S. R. P. .
NANO ENERGY, 2018, 48 :391-400
[6]   Triboelectric nanogenerators: providing a fundamental framework [J].
Dharmasena, R. D. I. G. ;
Jayawardena, K. D. G. I. ;
Mills, C. A. ;
Deane, J. H. B. ;
Anguita, J. V. ;
Dorey, R. A. ;
Silva, S. R. P. .
ENERGY & ENVIRONMENTAL SCIENCE, 2017, 10 (08) :1801-1811
[7]   Shape adaptable and highly resilient 3D braided triboelectric nanogenerators as e-textiles for power and sensing [J].
Dong, Kai ;
Peng, Xiao ;
An, Jie ;
Wang, Aurelia Chi ;
Luo, Jianjun ;
Sun, Baozhong ;
Wang, Jie ;
Wang, Zhong Lin .
NATURE COMMUNICATIONS, 2020, 11 (01)
[8]  
Feng S., 2015, 3 INT C MECH IND INF
[9]   Fibrous self-powered sensor with high stretchability for physiological information monitoring [J].
Fu, Kun ;
Zhou, Jie ;
Wu, Hanguang ;
Su, Zhiqiang .
NANO ENERGY, 2021, 88 (88)
[10]   Breeze-Wind-Energy-Powered Autonomous Wireless Anemometer Based on Rolling Contact-Electrification [J].
Fu, Xianpeng ;
Xu, Shaohang ;
Gao, Yuyu ;
Zhang, Xiaohan ;
Liu, Guoxu ;
Zhou, Han ;
Lv, Yi ;
Zhang, Chi ;
Wang, Zhong Lin .
ACS ENERGY LETTERS, 2021, 6 (06) :2343-2350