The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.
Ultrahigh Electricity Generation from Low-Frequency Mechanical Energy by Efficient Energy Management
Open accessAbstract
Summary An efficient energy-management strategy is critical for the energy utilization of triboelectric nanogenerators (TENGs), of which the switch and convertor are two key parts. However, common switches only withstand limited voltage (∼102 V), while the convertors for electrostatic energy are diversely designed without standard principles. Here, we report a simple, tunable auto-spark switch to achieve energy accumulation and fast release and develop a standard design procedure of matched transformer for electrostatic energy conversion. We establish an ultrahigh voltage (over 7.5 kV) energy-management system for TENG. Ultrahigh output charge of 660 μ C per cycle, pulsed power density of 11.13 kW m−2, and constant power density of 291 mW m−2 at 3 Hz are all achieved. With this energy-management unit, TENGs can continuously power a wireless sensors network at 1 Hz. This energy-management approach enables TENGs to present a breakthrough in practical applications.
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Cites
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Self-citationTheoretical systems of triboelectric nanogenerators
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Self-citationRadial-arrayed rotary electrification for high performance triboelectric generator
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Self-citationTranscutaneous ultrasound energy harvesting using capacitive triboelectric technology
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Self-citationPu, X., Guo, H., Chen, J., Wang, X., Xi, Y., Hu, C., & Wang, Z. L. (2017) · Science Advances · doi:10.1126/sciadv.1700694 · Cited by 624
Self-citationIntegrated charge excitation triboelectric nanogenerator
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Cited by
Choi, D., Lee, Y., Lin, Z.-H., Cho, S., Kim, M., Ao, C. K., Soh, S., Sohn, C., Jeong, C. K., Lee, J., et al. (2023) · ACS Nano · doi:10.1021/acsnano.2c12458 · Cited by 656
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Self-citationTriboelectric Nanogenerator‐Based Sensor Systems for Chemical or Biological Detection
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Designing wearable microgrids: towards autonomous sustainable on-body energy management
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Metadata
- Authors
- Wang, Z., Liu, W., He, W., Guo, H., Long, L., Xi, Y., Wang, X., Liu, A., & Hu, C.
- Venue
- Joule
- Publisher
- Elsevier BV
- Published
- 2021-02
- Volume
- 5
- Issue
- 2
- Pages
- 441-455
- ISSN
- 2542-4351 (ISSN-L)
- OpenAlex
- W3119273312
- Cited by
- 283
- References
- 39
- FWCI
- 13.72
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Wang, Z., Liu, W., He, W., Guo, H., Long, L., Xi, Y., Wang, X., Liu, A., & Hu, C. (2021). Ultrahigh Electricity Generation from Low-Frequency Mechanical Energy by Efficient Energy Management. Joule. https://doi.org/10.1016/j.joule.2020.12.023
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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