The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Power management and effective energy storage of pulsed output from triboelectric nanogenerator
Abstract
Abstract Triboelectric nanogenerator (TENG) harvesting living environmental energy has been demonstrated to be a potential energy source for internet of things, for its unique properties, such as high-output performance, clean, sustainability, low-cost etc., which have resulted in an explosive growth of related research in the past several years. However, due to the unique features of electrical output signals of TENGs like the pulsed output with random amplitude and frequency, ultra-high voltages and impedance, the electrical power generated by TENGs is hard to be delivered to the load efficiently or stored directly by the classical power management methods. Meanwhile, the mechanical energy from the environment is time dependent, unstable and sometime unpredictable, but the power required to drive electronics is regulated with a fixed input voltage and power. So it is important to store the generated energy in a battery or capacitor, so that it can be used to power a device sustainably. Fortunately, both the power management and energy storage for TENG have obtained significantly progress recently. Here, this paper reviews the progress made in power management and storage, including theoretical development, charge boosting, buck converting, energy storage, and the new enabled applications, aiming at building a self-charging power unit (SCPU) that can be a standard power package for sustainable operation of an electronic device. Finally, we will give an outlook for future development of applying SCPU for internet of things.
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Cites
Energy harvesting vibration sources for microsystems applications
Beeby, S. P., Tudor, M. J., & White, N. M. (2006) · Measurement Science and Technology · doi:10.1088/0957-0233/17/12/r01 · Cited by 3,008
Progress in triboelectric nanogenerators as a new energy technology and self-powered sensors
Wang, Z. L., Chen, J., & Lin, L. (2015) · Energy & Environmental Science · doi:10.1039/c5ee01532d · Cited by 2,174
Self-citationWang, Z. L. (2014) · Faraday Discuss. · doi:10.1039/c4fd00159a · Cited by 1,749
Self-citationBioresorbable silicon electronic sensors for the brain
Kang, S.-K., Murphy, R. K. J., Hwang, S.-W., Lee, S. M., Harburg, D. V., Krueger, N. A., Shin, J., Gamble, P., Cheng, H., Yu, S., et al. (2016) · Nature · doi:10.1038/nature16492 · Cited by 998
In Vivo Powering of Pacemaker by Breathing‐Driven Implanted Triboelectric Nanogenerator
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Self-citationZi, Y., Lin, L., Wang, J., Wang, S., Chen, J., Fan, X., Yang, P., Yi, F., & Wang, Z. L. (2015) · Advanced Materials · doi:10.1002/adma.201500121 · Cited by 482
Self-citationCheng, X., Song, Y., Han, M., Meng, B., Su, Z., Miao, L., & Zhang, H. (2016) · Sensors and Actuators A: Physical · doi:10.1016/j.sna.2016.05.051 · Cited by 41
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Triboelectric Nanogenerator (TENG)—Sparking an Energy and Sensor Revolution
Wang, Z. L. (2020) · Advanced Energy Materials · doi:10.1002/aenm.202000137 · Cited by 870
Self-citationRecent progress of triboelectric nanogenerators: From fundamental theory to practical applications
Luo, J., & Wang, Z. L. (2020) · EcoMat · doi:10.1002/eom2.12059 · Cited by 451
Self-citationTao, K., Yi, H., Yang, Y., Chang, H., Wu, J., Tang, L., Yang, Z., Wang, N., Hu, L., Fu, Y., et al. (2020) · Nano Energy · doi:10.1016/j.nanoen.2019.104197 · Cited by 328
Design, manufacturing and applications of wearable triboelectric nanogenerators
Wang, H., Han, M., Song, Y., & Zhang, H. (2021) · Nano Energy · doi:10.1016/j.nanoen.2020.105627 · Cited by 179
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Metadata
- Authors
- Cheng, X., Tang, W., Song, Y., Chen, H., Zhang, H., & Wang, Z. L.
- Venue
- Nano Energy
- Publisher
- Elsevier BV
- Published
- 2019-07
- Volume
- 61
- Pages
- 517-532
- ISSN
- 2211-2855 (ISSN-L)
- OpenAlex
- W2942909385
- Cited by
- 186
- References
- 7
- FWCI
- 8.54
- Type
- journal article
- Language
- en
- Open access
- closed
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