A Self-Powered Power Management Circuit for Triboelectric Nanogenerators Utilizing Gas Discharge Tube

被引:3
|
作者
Liang, Chuangjian [1 ,2 ]
Chen, Jianwei [3 ]
Li, Haohua [1 ,2 ]
Tang, Jialing [3 ]
Hu, Xinyu [1 ,2 ]
Zheng, Changyue [1 ,2 ]
Lu, Xiang [1 ,2 ]
机构
[1] Guangxi Univ, Carbon Peak & Neutral Sci & Technol Dev Inst, Guangxi Coll & Univ Key Lab Blue Energy & Syst Int, Ctr Nanoenergy Res,Sch Phys Sci & Technol, Nanning 530004, Peoples R China
[2] Guangxi Univ, State Key Lab Featured Met Mat & Life Cycle Safety, Nanning 530004, Peoples R China
[3] Guangxi Univ, Sch Phys Sci & Technol, Nanning 530004, Peoples R China
来源
ADVANCED MATERIALS TECHNOLOGIES | 2023年 / 8卷 / 22期
关键词
gas discharge tubes; power boost; power management; self-powered circuits; triboelectric nanogenerators; OUTPUT POWER;
D O I
10.1002/admt.202300672
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Spark discharge is essential for extracting energy from triboelectric nanogenerators (TENGs). However, the lack of universal technical standards for most discharge switches limits their widespread application. Herein, a buck circuit utilizing gas discharge tube (GDT) as discharge switches is presented. The GDT switch significantly enhances the instantaneous power to 30 mW, 15 times higher than the direct method. When V-GDT (the breakdown voltage of GDT) >= 1000 V, it can be integrated with an LC converter, forming the GDTx-Buck circuit with a maximum energy conversion efficiency of 92.2%. When V-GDT >1000 V, GDT can combine with a transformer, forming the GDT-nT circuit, which enables higher voltage power management. The results demonstrate GDT's universal applicability, reducing circuit complexity during design. In practical applications, the circuit can illuminate 1250 LEDs at an ultra-low operating frequency of 0.6 Hz, generating electromagnetic waves during GDT breakover, which proves valuable for self-powered wireless applications. Additionally, the circuit drives parallel calculators and thermometers at 2 Hz in micro-nano energy applications and provides continuous power to high-power fire sensors. Its high integration and simple design render it highly promising for large-scale energy management applications based on TENGs.
引用
收藏
页数:9
相关论文
共 50 条
  • [1] Triboelectric nanogenerators for self-powered neurostimulation
    Xu, Shumao
    Manshaii, Farid
    Xiao, Xiao
    Yin, Junyi
    Chen, Jun
    NANO RESEARCH, 2024, 17 (10) : 8926 - 8941
  • [2] Triboelectric nanogenerators as wearable power sources and self-powered sensors
    Pu, Xiong
    Zhang, Chi
    Wang, Zhong Lin
    NATIONAL SCIENCE REVIEW, 2023, 10 (01)
  • [3] Triboelectric nanogenerators as wearable power sources and self-powered sensors
    Xiong Pu
    Chi Zhang
    Zhong Lin Wang
    NationalScienceReview, 2023, 10 (01) : 28 - 48
  • [4] Triboelectric Nanogenerators for Self-Powered Wound Healing
    Xiao, Xiao
    Nashalian, Ardo
    Libanori, Alberto
    Fang, Yunsheng
    Li, Xiyao
    Chen, Jun
    ADVANCED HEALTHCARE MATERIALS, 2021, 10 (20)
  • [5] Advances in Triboelectric Nanogenerators for Self-powered Neuromodulation
    Elsanadidy, Esraa
    Mosa, Islam M.
    Luo, Dan
    Xiao, Xiao
    Chen, Jun
    Wang, Zhong Lin
    Rusling, James F.
    ADVANCED FUNCTIONAL MATERIALS, 2023, 33 (08)
  • [6] Textile triboelectric nanogenerators for self-powered biomonitoring
    Lama, John
    Yau, Andy
    Chen, Guorui
    Sivakumar, Aditya
    Zhao, Xun
    Chen, Jun
    JOURNAL OF MATERIALS CHEMISTRY A, 2021, 9 (35) : 19149 - 19178
  • [7] Triboelectric nanogenerators for self-powered drug delivery
    Li, Xiyao
    Tat, Trinny
    Chen, Jun
    TRENDS IN CHEMISTRY, 2021, 3 (09): : 765 - 778
  • [8] Triboelectric Nanogenerators for Self-Powered Breath Monitoring
    Shen, Sophia
    Xiao, Xiao
    Xiao, Xiao
    Chen, Jun
    ACS APPLIED ENERGY MATERIALS, 2022, 5 (04) : 3952 - 3965
  • [9] Triboelectric nanogenerators as self-powered active sensors
    Wang, Sihong
    Lin, Long
    Wang, Zhong Lin
    NANO ENERGY, 2015, 11 : 436 - 462
  • [10] An Adaptable Interface Conditioning Circuit Based on Triboelectric Nanogenerators for Self-Powered Sensors
    Hu, Yongshan
    Yue, Qiuqin
    Lu, Shan
    Yang, Dongchen
    Shi, Shuxin
    Zhang, Xiaokun
    Yu, Hua
    MICROMACHINES, 2018, 9 (03):