Bistable Multi‐Layer Triboelectric Nanogenerator for Harvesting Random and Ultra‐Low‐Frequency Vibration Energy with Increased Charge Transfer
Approximately 70% of the Earth's surface is covered by seawater, making the ocean ideal for harvesting energy. Triboelectric nanogenerators (TENGs), due to their low cost and simple structure, are well-suited for capturing ocean energy. However, their low charge transfer under weak inputs limits efficiency in harvesting random and ultra-low-frequency wave energy. This paper proposes a novel bistable multi-layer TENG (BM-TENG) to address this challenge for self-powered wireless sensing and lighting. Simulations and experiments demonstrate that both in intra-well and inter-well motions, the bistable mechanism enhances the dynamic responses and thus the power output by up to 48%. Furthermore, the multi-layer design within the constrained structure significantly boosts the power density. Experimental results show 730 V peak-to-peak open-circuit voltage and 5 mW maximum power in a three-layer BM-TENG under the excitation of 0.6 Hz and 0.18 g. The normalized power density of the proposed device is 54.9 Wm<sup>-3</sup>·Hz<sup>-1</sup>, surpassing the state-of-the-art results in literature. The application test shows that BM-TENG can successfully power 296 LEDs for ocean warning lighting, and power Bluetooth wireless sensors for monitoring marine environmental variables. This work introduces a novel and highly efficient self-powered sensing technique for advancements in marine Internet of Things (IoT) systems.
Authors
- Zhenglun Alan Wei (ORCID: https://orcid.org/0000-0003-0967-4610)
- Shuxiang Dong (ORCID: https://orcid.org/0000-0002-9617-6013)
- Shitong Fang (ORCID: https://orcid.org/0000-0002-4813-3027)
- Daniil Yurchenko (ORCID: https://orcid.org/0000-0002-4989-3634)
- Yi Guan (ORCID: https://orcid.org/0000-0002-6912-8294)
- Zhihui Lai (ORCID: https://orcid.org/0000-0003-4729-9604)
- Mengyuan Xiao (ORCID: https://orcid.org/0000-0003-1207-5344)
- Xin Li (ORCID: https://orcid.org/0000-0001-7484-7931)
Institutions
- Xidian University (CN)
- Shenzhen University (CN)
- Peking University (CN)
- University of Southampton (GB)
Publication Details
- Journal
- Advanced Science
- Published
- 2025-06-24
- DOI
- https://doi.org/10.1002/advs.202505246
- Citations
- 3
- Primary Topic
- Advanced Sensor and Energy Harvesting Materials
- Type
- article
- Field-Weighted Citation Impact
- 2.02
Funders
- National Natural Science Foundation of China