TY - JOUR
T1 - A self-powered and high sensitivity acceleration sensor with V-Q-a model based on triboelectric nanogenerators (TENGs)
AU - Liu, Chaoran
AU - Wang, Yishao
AU - Zhang, Nan
AU - Yang, Xun
AU - Wang, Zuankai
AU - Zhao, Libo
AU - Yang, Weihuang
AU - Dong, Linxi
AU - Che, Lufeng
AU - Wang, Gaofeng
AU - Zhou, Xiaofeng
N1 - Funding Information:
This work is financial supported by the National Natural Science Foundation of China (No. 61804038 ), the Key Research and Development Plan Project of Zhejiang Province (No. 2018C01036 ), the National Natural Science Foundation of China (No. 51975215 , 61704040 ), the Key Research and Development Project of Zhejiang Province (No. 2019C04003 ), Key Laboratory Fund Project of Science and Technology on Micro-system Laboratory (No. 614280401010317 ), Science and Technology Committee of Shanghai Municipality (No. 19511120100 ), Zhejiang Provincial Natural Science Foundation of China (No. LGG19F040003 ), Initial Funding for Scientific Research of ECNU and Strategic Priority Research Program of ECNU . Appendix A
Funding Information:
This work is financial supported by the National Natural Science Foundation of China (No. 61804038), the Key Research and Development Plan Project of Zhejiang Province (No. 2018C01036), the National Natural Science Foundation of China (No. 51975215, 61704040), the Key Research and Development Project of Zhejiang Province (No. 2019C04003), Key Laboratory Fund Project of Science and Technology on Micro-system Laboratory (No. 614280401010317), Science and Technology Committee of Shanghai Municipality (No. 19511120100), Zhejiang Provincial Natural Science Foundation of China (No. LGG19F040003), Initial Funding for Scientific Research of ECNU and Strategic Priority Research Program of ECNU.
Publisher Copyright:
© 2019 Elsevier Ltd
PY - 2020/1
Y1 - 2020/1
N2 - Developing self-powered accelerometers with high sensitivity is vital for Internet of Things, wearable electronics and sensor networks. Triboelectric nanogenerators (TENGs) have been proved as an effective solution for self-powered sensing. Currently, the research on self-powered accelerometers based on TENG still lacks the applicable theoretical model. And most self-powered accelerometers also have relatively low sensitivity. In this work, a novel V-Q-a theoretical model is reported to develop a self-powered and high sensitivity acceleration sensor based on TENGs. Deduced by the established model, the output performance of the sensor can be derived from theoretical calculations. Guided by the calculations, an accelerometer based on the silk-fibroin TENG is fabricated. The sensor exhibits a high sensitivity of 20.4 V/(m/s2) when acceleration ranges from 1 to 11 m/s2, and a high-power density of 371.8 mW/m2. These experimental results show a good agreement with the theoretical analysis. The development of the sensor shows many application prospects including wearable alarming devices and vibration detection systems. This research provides an in-depth theoretical study on self-powered acceleration sensors based on TENGs and an efficient method to develop high sensitivity self-powered acceleration sensors, which will promote the application of TENGs in self-powered sensing.
AB - Developing self-powered accelerometers with high sensitivity is vital for Internet of Things, wearable electronics and sensor networks. Triboelectric nanogenerators (TENGs) have been proved as an effective solution for self-powered sensing. Currently, the research on self-powered accelerometers based on TENG still lacks the applicable theoretical model. And most self-powered accelerometers also have relatively low sensitivity. In this work, a novel V-Q-a theoretical model is reported to develop a self-powered and high sensitivity acceleration sensor based on TENGs. Deduced by the established model, the output performance of the sensor can be derived from theoretical calculations. Guided by the calculations, an accelerometer based on the silk-fibroin TENG is fabricated. The sensor exhibits a high sensitivity of 20.4 V/(m/s2) when acceleration ranges from 1 to 11 m/s2, and a high-power density of 371.8 mW/m2. These experimental results show a good agreement with the theoretical analysis. The development of the sensor shows many application prospects including wearable alarming devices and vibration detection systems. This research provides an in-depth theoretical study on self-powered acceleration sensors based on TENGs and an efficient method to develop high sensitivity self-powered acceleration sensors, which will promote the application of TENGs in self-powered sensing.
KW - High sensitivity
KW - Large-scale fabrication
KW - Self-powered acceleration sensor
KW - Triboelectric nanogenerator
KW - V-Q-a model
UR - http://www.scopus.com/inward/record.url?scp=85075396711&partnerID=8YFLogxK
U2 - 10.1016/j.nanoen.2019.104228
DO - 10.1016/j.nanoen.2019.104228
M3 - Journal article
AN - SCOPUS:85075396711
VL - 67
JO - Nano Energy
JF - Nano Energy
SN - 2211-2855
M1 - 104228
ER -