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High performance wide frequency band triboelectric nanogenerator based on multilayer wave superstructure for harvesting vibration energy

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Abstract

Efficiently converting the random vibration energy widely existed in human activities and natural environments into electricity is significant to the local power supply of sensor nodes in the internet of things. However, the conversion efficiency of energy harvester is relatively low due to the limitation of device’s intrinsic frequency. In this work, a multi-layered, wavy super-structured-triboelectric nanogenerator (SS-TENG) is designed, whose output performances can be greatly promoted by combining the charge excitation mechanism. The steel sheet acts not only as an electrode but also as a supporter for the overall frame of SS-TENG, which effectively improves the space utilization rate and results in a volume charge density up to 129 mC·m−3. In addition, the resonant frequency width of the SS-TENG can be widened by changing the parameters of the superstructure. For demonstration, the SS-TENG can sustainably drive two temperature and humidity sensors in parallel by harvesting vibration energy. This work may provide an effective strategy for harvesting vibration energy and broadening frequency response.

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Acknowledgements

This work is financially supported by the National Key Research and Development Program (No. 2021YFA1201602), the NSFC (No. 62004017), the Fundamental Research Funds for the Central Universities (No. 2021CDJQY-019), and the Graduate Research and Innovation Foundation of Chongqing, China (No. CYB22047). J. C. also wants to acknowledge the supports from the Natural Science Foundation of Chongqing (No. cstc2021jcyjmsxmX0746) and the Scientific Research Project of Chongqing Education Committee (No. KJQN202100522).

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  1. Song Tang and Wenxuan Chang contributed equally to this work.

Authors and Affiliations

  1. School of Physics, Chongqing University, Chongqing, 400044, China

    Song Tang, Wenxuan Chang, Gui Li, Jianfeng Sun, Yan Du, Xindan Hui, Qian Tang, Zhihao Hu, Jiaqi Li, Wencong He & Hengyu Guo

  2. College of Physics and Electronic Engineering, Chongqing Normal University, Chongqing, 400047, China

    Jie Chen & Wencong He

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  1. Song Tang
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Correspondence to Jie Chen, Wencong He or Hengyu Guo.

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High performance wide frequency band triboelectric nanogenerator based on multilayer wave superstructure for harvesting vibration energy

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Tang, S., Chang, W., Li, G. et al. High performance wide frequency band triboelectric nanogenerator based on multilayer wave superstructure for harvesting vibration energy. Nano Res. 16, 6933–6939 (2023). https://doi.org/10.1007/s12274-023-5476-6

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  • DOI: https://doi.org/10.1007/s12274-023-5476-6

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