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Quantifying contact status and the air-breakdown model of charge-excitation triboelectric nanogenerators to maximize charge density

Author

Listed:
  • Yike Liu

    (Chongqing University)

  • Wenlin Liu

    (Chongqing University)

  • Zhao Wang

    (Chongqing University)

  • Wencong He

    (Chongqing University)

  • Qian Tang

    (Chongqing University)

  • Yi Xi

    (Chongqing University)

  • Xue Wang

    (Chongqing University)

  • Hengyu Guo

    (Chongqing University
    Georgia Institute of Technology)

  • Chenguo Hu

    (Chongqing University)

Abstract

Surface charge density is the key factor for developing high performance triboelectric nanogenerators (TENG). The previously invented charge excitation TENG provides a most efficient way to achieve maximum charge output of a TENG device. Herein, criteria to quantitatively evaluate the contact efficiency and air breakdown model on charge excitation TENG are established to enhance and evaluate charge density. The theoretical results are further verified by systematic experiments. A high average charge density up to 2.38 mC m−2 is achieved using the 4 μm PEI film and homemade carbon/silicone gel electrode in ambient atmosphere with 5% relative humidity. This work also reveals the actual charge density (over 4.0 mC m−2) in a TENG electrode based on quantified surface micro-contact efficiency and provides a prospective technical approach to improve the charge density, which could push the output performance of TENG to a new horizon.

Suggested Citation

  • Yike Liu & Wenlin Liu & Zhao Wang & Wencong He & Qian Tang & Yi Xi & Xue Wang & Hengyu Guo & Chenguo Hu, 2020. "Quantifying contact status and the air-breakdown model of charge-excitation triboelectric nanogenerators to maximize charge density," Nature Communications, Nature, vol. 11(1), pages 1-8, December.
    • Handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-15368-9
    DOI: 10.1038/s41467-020-15368-9
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    Cited by:

    1. Yikui Gao & Lixia He & Di Liu & Jiayue Zhang & Linglin Zhou & Zhong Lin Wang & Jie Wang, 2024. "Spontaneously established reverse electric field to enhance the performance of triboelectric nanogenerators via improving Coulombic efficiency," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    2. Xiang Li & Roujuan Li & Shaoxin Li & Zhong Lin Wang & Di Wei, 2024. "Triboiontronics with temporal control of electrical double layer formation," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    3. Ye Lu & Longlong Jiang & Yang Yu & Dehua Wang & Wentao Sun & Yang Liu & Jing Yu & Jun Zhang & Kai Wang & Han Hu & Xiao Wang & Qingming Ma & Xiaoxiong Wang, 2022. "Liquid-liquid triboelectric nanogenerator based on the immiscible interface of an aqueous two-phase system," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    4. Wang, Ru & Cui, Juan & Liu, Yabing & Liu, Dan & Du, Chunhui & Yan, Shubin & Zheng, Yongqiu & Xue, Chenyang, 2022. "Multi-pulse triboelectric nanogenerator based on micro-gap corona discharge for enhancement of output performance," Energy, Elsevier, vol. 244(PA).
    5. Hongcheng Tao & James Gibert, 2023. "Measuring gas discharge in contact electrification," Nature Communications, Nature, vol. 14(1), pages 1-9, December.
    6. Toyabur Rahman, M. & Sohel Rana, SM & Salauddin, Md. & Maharjan, Pukar & Bhatta, Trilochan & Kim, Hyunsik & Cho, Hyunok & Park, Jae Yeong, 2020. "A highly miniaturized freestanding kinetic-impact-based non-resonant hybridized electromagnetic-triboelectric nanogenerator for human induced vibrations harvesting," Applied Energy, Elsevier, vol. 279(C).
    7. Mengjiao Li & Hong-Wei Lu & Shu-Wei Wang & Rei-Ping Li & Jiann-Yeu Chen & Wen-Shuo Chuang & Feng-Shou Yang & Yen-Fu Lin & Chih-Yen Chen & Ying-Chih Lai, 2022. "Filling the gap between topological insulator nanomaterials and triboelectric nanogenerators," Nature Communications, Nature, vol. 13(1), pages 1-11, December.

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