Ultralow Quiescent Power‐Consumption Wake‐Up Technology Based on the Bionic Triboelectric Nanogenerator

Abstract: Wake‐up circuits in smart microsystems make huge contributions to energy conservation of electronic networks in unmanned areas, which still require higher pressure‐triggering sensitivity and lower power consumption. In this work, a bionic triboelectric nanogenerator (bTENG) is developed to serve as a self‐powered motion sensor in the wake‐up circuit, which captures slight mechanical disturbances and overcomes the drawback of conventional self‐powered motion sensors in the wake‐up circuit that the circuit can only be triggered when a considerable pressure is applied on the sensor. The bTENG mimics the structure of plants and the addition of the leaf‐shaped tentacle structures can increase the electrical outputs by four times, which largely extends the detection range of the wake‐up circuit. The bTENG can detect both noncontact and contact mechanical disturbances; and voltages generated from both situations can trigger the wake‐up system. Moreover, the specially designed circuit that is compatible with the bTENG can help more accurately control the wake‐up system and prolong the battery life of the electronic networks to 12.4 times. An intrusion detection system is established in the wake‐up circuit to distinguish human motion and judge the scene. This work opens new horizons for wake‐up technologies, and provides new routes for persistent sensing.

Object Details

• Location: Deutsche Nationalbibliothek Frankfurt am Main
• Extent: Online-Ressource
• Language: Englisch

References and Relationships

• Bibliographic citation: Ultralow Quiescent Power‐Consumption Wake‐Up Technology Based on the Bionic Triboelectric Nanogenerator ; volume:7 ; number:12 ; year:2020 ; extent:10 ; Advanced science ; 7, Heft 12 (2020) (gesamt 10)

Contributors, Places and Time

• Creator: Zhang, Chenxi ; Dai, Keren ; Liu, Di ; Yi, Fang ; Wang, Xiaofeng ; Zhu, Lianqing ; You, Zheng

Further information

• DOI: 10.1002/advs.202000254
• URN: urn:nbn:de:101:1-2022062310323799049966
• Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
• Last update: 15.08.2025, 7:37 AM CEST