TY - JOUR
T1 - Seesaw structured triboelectric nanogenerator with enhanced output performance and its applications in self-powered motion sensing
AU - Lin, Hongbin
AU - Liu, Ying
AU - Chen, Shuailin
AU - Xu, Qinghao
AU - Wang, Shutang
AU - Hu, Tao
AU - Pan, Peifeng
AU - Wang, Yizhou
AU - Zhang, Y.
AU - Li, Ning
AU - Li, Yi
AU - Ma, Yanwen
AU - Xie, Yannan
AU - Wang, Lianhui
N1 - Funding Information:
This work was supported by National Natural Science Foundation of China (No. 61601394 ), the Start-Up Fund from Nanjing University of Posts and Telecommunications (No. NY218151 and NY218157 ), Natural Science Foundation of Fujian Province (No. 2016J01319 ), Education and Research Fund of the Education Department of Fujian Province (No. JAT160006 ), and the Fundamental Research Funds for the Central Universities (Nos. 20720160089 and 20720170041 ).
Publisher Copyright:
© 2019 Elsevier Ltd
PY - 2019/11
Y1 - 2019/11
N2 - As the world entering the era of internet of things (IoTs), billions of sensor nodes call for the energy for the new era, which is important application of entropy in energy science. Energy harvesting and self-powered technology based on triboelectric nanogenerator (TENG) have been widely recognized as effective solution to providing “random” energy for the “random” units in IoTs. Contact-separation mode, which is one of the most fundamental working mode of TENG, has shown promising potential in mechanical energy harvester and self-powered sensors. In this work, a seesaw structured triboelectric nanogenerator (SS-TENG) is proposed based on contact-separation mode. This structure can largely enhance the relative motion velocity between two tribo-surfaces, and hence improve the output performance of the device. Furthermore, the electric signals of the SS-TENG can be tuned by structure modification to be asymmetric, which can be utilized to monitor the motion direction and velocity of passing objects as well as movement of human foot. After employing C programming, the output signals can be identified and logically analyzed through electric circuits or computers, enabling visual display of sensing results for practical applications. Therefore, this work not only provides a new way of performance enhancement for TENG but also proposes a novel strategy for self-powered motion sensing, showing great potential in the fields of mechanical energy scavenging, traffic monitoring, healthcare sensing, sports rehabilitation, and corrective exercise.
AB - As the world entering the era of internet of things (IoTs), billions of sensor nodes call for the energy for the new era, which is important application of entropy in energy science. Energy harvesting and self-powered technology based on triboelectric nanogenerator (TENG) have been widely recognized as effective solution to providing “random” energy for the “random” units in IoTs. Contact-separation mode, which is one of the most fundamental working mode of TENG, has shown promising potential in mechanical energy harvester and self-powered sensors. In this work, a seesaw structured triboelectric nanogenerator (SS-TENG) is proposed based on contact-separation mode. This structure can largely enhance the relative motion velocity between two tribo-surfaces, and hence improve the output performance of the device. Furthermore, the electric signals of the SS-TENG can be tuned by structure modification to be asymmetric, which can be utilized to monitor the motion direction and velocity of passing objects as well as movement of human foot. After employing C programming, the output signals can be identified and logically analyzed through electric circuits or computers, enabling visual display of sensing results for practical applications. Therefore, this work not only provides a new way of performance enhancement for TENG but also proposes a novel strategy for self-powered motion sensing, showing great potential in the fields of mechanical energy scavenging, traffic monitoring, healthcare sensing, sports rehabilitation, and corrective exercise.
KW - Human motion monitoring
KW - Mechanical energy harvesting
KW - Self-powered motion sensing
KW - Triboelectric nanogenerator
UR - http://www.scopus.com/inward/record.url?scp=85070546683&partnerID=8YFLogxK
U2 - 10.1016/j.nanoen.2019.103944
DO - 10.1016/j.nanoen.2019.103944
M3 - Article
AN - SCOPUS:85070546683
SN - 2211-2855
VL - 65
JO - Nano Energy
JF - Nano Energy
M1 - 103944
ER -
