The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
A universal self-charging system driven by random biomechanical energy for sustainable operation of mobile electronics
Open accessAbstract
Human biomechanical energy is characterized by fluctuating amplitudes and variable low frequency, and an effective utilization of such energy cannot be achieved by classical energy-harvesting technologies. Here we report a high-efficient self-charging power system for sustainable operation of mobile electronics exploiting exclusively human biomechanical energy, which consists of a high-output triboelectric nanogenerator, a power management circuit to convert the random a.c. energy to d.c. electricity at 60% efficiency, and an energy storage device. With palm tapping as the only energy source, this power unit provides a continuous d.c. electricity of 1.044 mW (7.34 W m−3) in a regulated and managed manner. This self-charging unit can be universally applied as a standard ‘infinite-lifetime’ power source for continuously driving numerous conventional electronics, such as thermometers, electrocardiograph system, pedometers, wearable watches, scientific calculators and wireless radio-frequency communication system, which indicates the immediate and broad applications in personal sensor systems and 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
Electromagnetic generator for harvesting energy from human motion
Saha, C. R., O’Donnell, T., Wang, N., & McCloskey, P. (2008) · Sensors and Actuators A: Physical · doi:10.1016/j.sna.2008.03.008 · Cited by 608
Cited by
On Maxwell's displacement current for energy and sensors: the origin of nanogenerators
Wang, Z. L. (2017) · Materials Today · doi:10.1016/j.mattod.2016.12.001 · Cited by 2,083
Self-citationQuantifying the triboelectric series
Zou, H., Zhang, Y., Guo, L., Wang, P., He, X., Dai, G., Zheng, H., Chen, C., Wang, A. C., Xu, C., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-09461-x · Cited by 1,920
Self-citationReviving Vibration Energy Harvesting and Self-Powered Sensing by a Triboelectric Nanogenerator
Chen, J., & Wang, Z. L. (2017) · Joule · doi:10.1016/j.joule.2017.09.004 · Cited by 1,021
Self-citationA highly sensitive, self-powered triboelectric auditory sensor for social robotics and hearing aids
Guo, H., Pu, X., Chen, J., Meng, Y., Yeh, M.-H., Liu, G., Tang, Q., Chen, B., Liu, D., Qi, S., et al. (2018) · Science Robotics · doi:10.1126/scirobotics.aat2516 · Cited by 786
Self-citationSustainably powering wearable electronics solely by biomechanical energy
Wang, J., Li, S., Yi, F., Zi, Y., Lin, J., Wang, X., Xu, Y., & Wang, Z. L. (2016) · Nature Communications · doi:10.1038/ncomms12744 · Cited by 648
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Metadata
- Authors
- Niu, S., Wang, X., Yi, F., Zhou, Y. S., & Wang, Z. L.
- Venue
- Nature Communications
- Published
- 2015-12-11
- Volume
- 6
- Issue
- 1
- Pages
- 8975-8975
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W2258259518
- Cited by
- 694
- References
- 2
- FWCI
- 27.37
- Type
- journal article
- Language
- en
- Open access
- gold
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