The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.
Hybridized Electromagnetic–Triboelectric Nanogenerator for Scavenging Biomechanical Energy for Sustainably Powering Wearable Electronics
Abstract
We report a hybridized electromagnetic-triboelectric nanogenerator for highly efficient scavenging of biomechanical energy to sustainably power wearable electronics by human walking. Based on the effective conjunction of triboelectrification and electromagnetic induction, the hybridized nanogenerator, with dimensions of 5 cm × 5 cm × 2.5 cm and a light weight of 60 g, integrates a triboelectric nanogenerator (TENG) that can deliver a peak output power of 4.9 mW under a loading resistance of 6 MΩ and an electromagnetic generator (EMG) that can deliver a peak output power of 3.5 mW under a loading resistance of 2 kΩ. The hybridized nanogenerator exhibits a good stability for the output performance and a much better charging performance than that of an individual energy-harvesting unit (TENG or EMG). Furthermore, the hybridized nanogenerator integrated in a commercial shoe has been utilized to harvest biomechanical energy induced by human walking to directly light up tens of light-emitting diodes in the shoe and sustainably power a smart pedometer for reading the data of a walking step, distance, and energy consumption. A wireless pedometer driven by the hybrid nanogenerator can work well to send the walking data to an iPhone under the distance of 25 m. This work pushes forward a significant step toward energy harvesting from human walking and its potential applications in sustainably powering wearable electronics.
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Materials and Mechanics for Stretchable Electronics
Rogers, J. A., Someya, T., & Huang, Y. (2010) · Science · doi:10.1126/science.1182383 · Cited by 5,042
Wang, Z. L. (2013) · ACS Nano · doi:10.1021/nn404614z · Cited by 3,058
Self-citationFiber‐Based Wearable Electronics: A Review of Materials, Fabrication, Devices, and Applications
Zeng, W., Shu, L., Li, Q., Chen, S., Wang, F., & Tao, X. (2014) · Advanced Materials · doi:10.1002/adma.201400633 · Cited by 2,019
Energy scavenging with shoe-mounted piezoelectrics
Shenck, N. S., & Paradiso, J. A. (2001) · IEEE Micro · doi:10.1109/40.928763 · Cited by 1,091
Chen, J., Zhu, G., Yang, W., Jing, Q., Bai, P., Yang, Y., Hou, T., & Wang, Z. L. (2013) · Advanced Materials · doi:10.1002/adma.201302397 · Cited by 822
Self-citationTowards Self‐Powered Nanosystems: From Nanogenerators to Nanopiezotronics
Wang, Z. L. (2008) · Advanced Functional Materials · doi:10.1002/adfm.200800541 · Cited by 803
Self-citationBiomechanical Energy Harvesting: Generating Electricity During Walking with Minimal User Effort
Donelan, J. M., Li, Q., Naing, V., Hoffer, J. A., Weber, D. J., & Kuo, A. D. (2008) · Science · doi:10.1126/science.1149860 · Cited by 777
Kinetic Energy Harvesting Using Piezoelectric and Electromagnetic Technologies—State of the Art
Khaligh, A., Zeng, P., & Zheng, C. (2010) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2009.2024652 · Cited by 669
Bai, P., Zhu, G., Lin, Z.-H., Jing, Q., Chen, J., Zhang, G., Ma, J., & Wang, Z. L. (2013) · ACS Nano · doi:10.1021/nn4007708 · Cited by 628
Self-citationZhang, C., Tang, W., Han, C., Fan, F., & Wang, Z. L. (2014) · Advanced Materials · doi:10.1002/adma.201400207 · Cited by 606
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Chen, G., Li, Y., Bick, M., & Chen, J. (2020) · Chemical Reviews · doi:10.1021/acs.chemrev.9b00821 · Cited by 931
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
Self-citationIntegrated charge excitation triboelectric nanogenerator
Liu, W., Wang, Z., Wang, G., Liu, G., Chen, J., Pu, X., Xi, Y., Wang, X., Guo, H., Hu, C., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-09464-8 · Cited by 607
Self-citationFrom contact electrification to triboelectric nanogenerators
Wang, Z. L. (2021) · Reports on Progress in Physics · doi:10.1088/1361-6633/ac0a50 · Cited by 553
Self-citationRetractedMaterial choices for triboelectric nanogenerators: A critical review
Zhang, R., & Olin, H. (2020) · EcoMat · doi:10.1002/eom2.12062 · Cited by 533
Kim, T., Park, J., Sohn, J., Cho, D., & Jeon, S. (2016) · ACS Nano · doi:10.1021/acsnano.6b01355 · Cited by 474
Hybrid Energy Harvesters: Toward Sustainable Energy Harvesting
Ryu, H., Yoon, H., & Kim, S. (2019) · Advanced Materials · doi:10.1002/adma.201802898 · Cited by 465
Multifunctional TENG for Blue Energy Scavenging and Self‐Powered Wind‐Speed Sensor
Xi, Y., Guo, H., Zi, Y., Li, X., Wang, J., Deng, J., Li, S., Hu, C., Cao, X., & Wang, Z. L. (2017) · Advanced Energy Materials · doi:10.1002/aenm.201602397 · Cited by 357
Self-citationChen, C., Chen, L., Wu, Z., Guo, H., Yu, W., Du, Z., & Wang, Z. L. (2020) · Materials Today · doi:10.1016/j.mattod.2019.10.025 · Cited by 355
Self-citationZhang, B., Chen, J., Jin, L., Deng, W., Zhang, L., Zhang, H., Zhu, M., Yang, W., & Wang, Z. L. (2016) · ACS Nano · doi:10.1021/acsnano.6b02384 · Cited by 317
Self-citationHe, W., Liu, W., Chen, J., Wang, Z., Liu, Y., Pu, X., Yang, H., Tang, Q., Yang, H., Guo, H., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-18086-4 · Cited by 303
Self-citationTriboelectric Generators and Sensors for Self-Powered Wearable Electronics
Ha, M., Park, J., Lee, Y., & Ko, H. (2015) · ACS Nano · doi:10.1021/acsnano.5b01478 · Cited by 288
Metadata
- Authors
- Zhang, K., Wang, X., Yang, Y., & Wang, Z. L.
- Venue
- ACS Nano
- Publisher
- American Chemical Society (ACS)
- Published
- 2015-02-18
- Volume
- 9
- Issue
- 4
- Pages
- 3521-3529
- ISSN
- 1936-0851 (ISSN-L)
- 1936-086X
- OpenAlex
- W1983783040
- Cited by
- 281
- References
- 23
- FWCI
- 14.47
- Type
- journal article
- Language
- en
- Open access
- closed
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