Double bistable superposition strategy for improving the performance of triboelectric nanogenerator

被引:10
作者
Liu, Jiayi [1 ]
Luo, Hongchun [2 ]
Yang, Tao [1 ,3 ]
Cui, Yingxuan [1 ]
Lu, Kuan [1 ]
Qin, Weiyang [1 ]
机构
[1] Northwestern Polytech Univ, Dept Engn Mech, Xian 710072, Peoples R China
[2] Yibin Univ, Fac Sci, Computat Phys Key Lab Sichuan Prov, Yibin 644007, Peoples R China
[3] Northwestern Polytech Univ Shenzhen, Res & Dev Inst, Shenzhen 518057, Peoples R China
基金
中国国家自然科学基金;
关键词
Triboelectric nanogenerator; Bistable; Large amplitude motion; Ultra -low frequency; Double bistable superposition; ENERGY;
D O I
10.1016/j.ymssp.2024.111304
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
The output of triboelectric nanogenerator (TENG) is related to the relative motion of friction materials, and it is difficult for traditional bistable TENG to have a large amplitude in a small space which is a significant challenge for wearable applications. Especially, the vibration produced by the movement of human limbs has ultra-low frequency characteristics. This paper proposes a double bistable superimposed triboelectric nanogenerator (DBSP-TENG) to achieve large amplitude motion under ultra-low frequency excitation, thereby increasing the response amplitude and output power of TENG. The simplified physical model of DBSP-TENG is analyzed and its dynamic response characteristics are numerically simulated to verify its bistability. The experimental results show that under the ultra-low frequency excitation condition, the output can be increased by superimposing bistability without changing the bistable region conditions. Compared with traditional bistable, the output voltage and power of DBSP-TENG are increased to 2.5 times and 4.2 times at 2 Hz, respectively. The application value of DBSP-TENG is further proved by human wearing experiments. DBSP-TENG can harvest ultra-low frequency vibration energy to power microelectronic components.
引用
收藏
页数:12
相关论文
共 56 条
[21]   Wearable Ball-Impact Piezoelectric Multi-Converters for Low-Frequency Energy Harvesting from Human Motion [J].
Nastro, Alessandro ;
Pienazza, Nicola ;
Bau, Marco ;
Aceti, Pietro ;
Rouvala, Markku ;
Ardito, Raffaele ;
Ferrari, Marco ;
Corigliano, Alberto ;
Ferrari, Vittorio .
SENSORS, 2022, 22 (03)
[22]   Perovskite Piezoelectric-Based Flexible Energy Harvesters for Self-Powered Implantable and Wearable IoT Devices [J].
Pattipaka, Srinivas ;
Bae, Young Min ;
Jeong, Chang Kyu ;
Park, Kwi-Il ;
Hwang, Geon-Tae .
SENSORS, 2022, 22 (23)
[23]   Investigated a PLL surface-modified Nylon 11 electrospun as a highly tribo-positive frictional layer to enhance output performance of triboelectric nanogenerators and self-powered wearable sensors [J].
Prasad, Gajula ;
Graham, Sontyana Adonijah ;
Yu, Jae Su ;
Kim, Hongdoo ;
Lee, Dong-Weon .
NANO ENERGY, 2023, 108
[24]   Nanogenerators for Human Body Energy Harvesting [J].
Proto, Antonino ;
Penhaker, Marek ;
Conforto, Silvia ;
Schmid, Maurizio .
TRENDS IN BIOTECHNOLOGY, 2017, 35 (07) :610-624
[25]   Highly Durable Compact Sleeve Triboelectric-Electromagnetic Hybrid Nanogenerator for Broadband Triggered Energy Harvesting and Active Wind Speed Sensing [J].
Rui, Pinshu ;
Li, Dongpeng ;
Zi, Zhenfa ;
Zhao, Yan .
ADVANCED MATERIALS TECHNOLOGIES, 2023, 8 (01)
[26]   Audio-Visual Speech and Gesture Recognition by Sensors of Mobile Devices [J].
Ryumin, Dmitry ;
Ivanko, Denis ;
Ryumina, Elena .
SENSORS, 2023, 23 (04)
[27]   Review of Power Converter Impact of Electromagnetic Energy Harvesting Circuits and Devices for Autonomous Sensor Applications [J].
Sarker, Mahidur R. ;
Saad, Mohamad Hanif Md ;
Olazagoitia, Jose Luis ;
Vinolas, Jordi .
ELECTRONICS, 2021, 10 (09)
[28]   Energy Harvesting from Human Walking Motion using Pendulum-based Electromagnetic Generators [J].
Sharghi, Hesam ;
Bilgen, Onur .
JOURNAL OF SOUND AND VIBRATION, 2022, 534
[29]   Surface modified hybrid ZnSnO3 nanocubes for enhanced piezoelectric power generation and wireless sensory application [J].
Shawon, Sk Md Ali Zaker ;
Carballo, Zaida D. ;
Vega, Valeria Suarez ;
Lin, Chen ;
Rafaqut, Muhammad Sufian ;
Sun, Andrew Xu ;
Li, J. James ;
Uddin, M. Jasim .
NANO ENERGY, 2022, 92
[30]   Energy conversion by 'T-shaped' cantilever type electromagnetic vibration based micro power generator from low frequency vibration sources [J].
Siddique, Abu Raihan Mohammad ;
Mahmud, Shohel ;
Van Heyst, Bill .
ENERGY CONVERSION AND MANAGEMENT, 2017, 133 :399-410