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Woven Fabric Triboelectric Nanogenerator for Biomotion Energy Harvesting and as Self-Powered Gait-Recognizing Socks

Author

Listed:
  • Chaoyu Chen

    (Key Laboratory of Textile Science & Technology, Ministry of Education, College of Textiles, Donghua University, Shanghai 201620, China)

  • Lei Zhang

    (Key Laboratory of Advanced Technologies of Materials (Ministry of Education), School of Materials Science and Engineering, Southwest Jiaotong University, Chengdu 610031, China)

  • Wenbo Ding

    (Tsinghua-Berkeley Shenzhen Institute, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China)

  • Lijun Chen

    (Key Laboratory of Textile Science & Technology, Ministry of Education, College of Textiles, Donghua University, Shanghai 201620, China)

  • Jinkang Liu

    (Violet Home Textile Science and Technology Company Limited, Nantong 226311, China)

  • Zhaoqun Du

    (Key Laboratory of Textile Science & Technology, Ministry of Education, College of Textiles, Donghua University, Shanghai 201620, China)

  • Weidong Yu

    (Key Laboratory of Textile Science & Technology, Ministry of Education, College of Textiles, Donghua University, Shanghai 201620, China)

Abstract

In recent years, rapid advancements have developed in multifunctional and wearable electronics, which call for more lightweight, flexible energy sources. However, traditional disposable batteries and rechargeable batteries are not very suitable because of their bulky appearance, limited capacity, low flexibility, and environmental pollution problem. Here, by applying a mature manufacturing technology that has existed in the textile field for a long time, a woven fabric triboelectric nanogenerator (WF-TENG) with a thinner structure that can be mass-fabricated with low cost, perfect stability, and high flexibility is designed and reported. Due to the good intrinsic quality of TENGs, the maximum voltage of this WF-TENG can easily reach 250 V under a pressure of 3.5 kPa and a tapping frequency of 0.33 Hz. Because of the stable plain-woven structure, the output voltage can remain relatively stable even after the WF-TENG has been working for about 5 h continuously, clearly demonstrating its robustness and practical value. Moreover, good sensitivity endows this WF-TENG with the capability of being applied as self-powered sensors, such as a self-powered smart real-time gait-recognizing sock. This WF-TENG shows us a simple and effective method to fabricate a wearable textile product with functional ability, which is very meaningful for future research.

Suggested Citation

  • Chaoyu Chen & Lei Zhang & Wenbo Ding & Lijun Chen & Jinkang Liu & Zhaoqun Du & Weidong Yu, 2020. "Woven Fabric Triboelectric Nanogenerator for Biomotion Energy Harvesting and as Self-Powered Gait-Recognizing Socks," Energies, MDPI, vol. 13(16), pages 1-10, August.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:16:p:4119-:d:396696
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    References listed on IDEAS

    as
    1. Jiaqing Xiong & Peng Cui & Xiaoliang Chen & Jiangxin Wang & Kaushik Parida & Meng-Fang Lin & Pooi See Lee, 2018. "Skin-touch-actuated textile-based triboelectric nanogenerator with black phosphorus for durable biomechanical energy harvesting," Nature Communications, Nature, vol. 9(1), pages 1-9, December.
    2. Zhong Lin Wang, 2017. "Catch wave power in floating nets," Nature, Nature, vol. 542(7640), pages 159-160, February.
    3. Massimo Mariello & Elisa Scarpa & Luciana Algieri & Francesco Guido & Vincenzo Mariano Mastronardi & Antonio Qualtieri & Massimo De Vittorio, 2020. "Novel Flexible Triboelectric Nanogenerator based on Metallized Porous PDMS and Parylene C," Energies, MDPI, vol. 13(7), pages 1-12, April.
    4. Ying Gong & Zhengbao Yang & Xiaobiao Shan & Yubiao Sun & Tao Xie & Yunlong Zi, 2019. "Capturing Flow Energy from Ocean and Wind," Energies, MDPI, vol. 12(11), pages 1-22, June.
    5. Jianxiong Zhu & Aochen Wang & Haibing Hu & Hua Zhu, 2017. "Hybrid Electromagnetic and Triboelectric Nanogenerators with Multi-Impact for Wideband Frequency Energy Harvesting," Energies, MDPI, vol. 10(12), pages 1-11, December.
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    Cited by:

    1. Yupeng Mao & Yongsheng Zhu & Tianming Zhao & Changjun Jia & Xiao Wang & Qi Wang, 2021. "Portable Mobile Gait Monitor System Based on Triboelectric Nanogenerator for Monitoring Gait and Powering Electronics," Energies, MDPI, vol. 14(16), pages 1-12, August.

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