journal article·2022-06

Exceeding 50 mW RMS‐Output Magneto‐Mechano‐Electric Generator by Hybridizing Piezoelectric and Electromagnetic Induction Effects

Min Sub Kwak, Mahesh Peddigari, Ha Young Lee, Yuho Min, Kwi‐Il Park, Jong‐Hyun Kim, Woon‐Ha Yoon, Jungho Ryu, Sam Nyung Yi, Jongmoon Jang, Geon‐Tae Hwang

Advanced Functional Materials· Volume 32· Issue 24
Publisher page

Abstract

Abstract A magneto‐mechano‐electric (MME) generator with root mean square (RMS) output exceeding 50 mW is demonstrated by integration of a piezoelectric Pb(Mg1/3Nb2/3)O3‐Pb(Zr,Ti)O3 (PMN‐PZT) single crystal and an electromagnetic induction structure to convert a gentle alternating current magnetic field into electricity to operate a high‐power consumption multi‐functional Internet of Things (IoT) environmental monitoring system. The 2nd resonance bending mode at the cantilever‐type hybrid MME generator enabled much higher output power than the conventional 1st resonance mode, which is theoretically investigated by a finite element analysis. The hybridized MME generator can generate a total RMS output power of 60 mW since the output power of the piezoelectric and electromagnetic induction parts is 26.7 and 33.3 mW, respectively, by a magnetic field of 7 Oe at the 2nd harmonic bending mode. The hybrid MME generator is employed to irradiate a red laser as well as to fully charge a commercial 280 mAh LiFePO4 battery. Finally, a self‐powered multi‐functional IoT environment monitoring system is constructed by integrating the hybrid MME generator, a power management circuit, and a wireless multiple sensing modules. The remarkable output power from the hybridized MME generator enabled the continuous sensing of nine types of ambient information and subsequent transmission of the measured data to a smartphone.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Innovative Energy Harvesting Technologies · Advanced Sensor and Energy Harvesting Materials · Tactile and Sensory Interactions

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Korea Institute of Materials Science (KIMS) 797 Changwondae‐ro, Seongsan‐gu Changwon Gyeongnam 51508 Republic of Korea

Department of Electronic Materials Engineering Korea Maritime and Ocean University (KMOU) 727 Taejong‐ro Yeongdo‐gu Busan 49112 Republic of Korea

School of Materials Science and Engineering Kyungpook National University 80 Daehak‐ro Buk‐gu Daegu 41566 Republic of Korea

Korea Electrotechnology Research Institute (KERI) 12, Jeongiui‐gil, Seongsan‐gu Changwon Gyeongnam 51508 Republic of Korea

School of Materials Science & Engineering Yeungnam University 280 Daehak‐ro Gyeongsan Gyeongbuk 38541 Republic of Korea

Interdisciplinary Major of Maritime AI Convergence Korea Maritime and Ocean University Busan 49112 Republic of Korea

Department of Materials Science and Engineering Pukyong National University 45, Yongso‐ro Nam‐Gu Busan 48513 Republic of Korea

Funding

National Research Foundation of Korea · Korea Institute of Materials Science

References (35)

Show source-provided references
1. 10.1016/j.comnet.2010.05.01010.1016/j.comnet.2010.05.010 ↗
2. 10.1016/j.future.2013.01.01010.1016/j.future.2013.01.010 ↗
3. 10.1126/science.aag047610.1126/science.aag0476 ↗
4. 10.1039/C5EE01532D10.1039/C5EE01532D ↗
5. 10.1039/C8EE00188J10.1039/C8EE00188J ↗
6. 10.1002/aenm.20160023710.1002/aenm.201600237 ↗
7. 10.1039/C5EE00414D10.1039/C5EE00414D ↗
8. 10.1039/C7EE03429F10.1039/C7EE03429F ↗
9. 10.1155/2016/315980510.1155/2016/3159805 ↗
10. 10.1002/aenm.20170331310.1002/aenm.201703313 ↗
11. 10.1039/C9EE03902C10.1039/C9EE03902C ↗
12. 10.1016/j.nanoen.2020.10495110.1016/j.nanoen.2020.104951 ↗
13. 10.1002/aenm.20160124410.1002/aenm.201601244 ↗
14. 10.1039/D0EE01574A10.1039/D0EE01574A ↗
15. 10.1039/C8EE03008A10.1039/C8EE03008A ↗
16. 10.1016/j.bushor.2015.03.00810.1016/j.bushor.2015.03.008 ↗
17. Silconlabs Thunderboard Sense 2 Sensor‐to‐Cloud Advanced IoT Kit https://www.silabs.com/development-tools/thunderboard/thunderboard-sense-two-kit (accessed: July2021).
18. 10.1016/j.nanoen.2020.10492110.1016/j.nanoen.2020.104921 ↗
19. 10.1021/acsnano.6b0329310.1021/acsnano.6b03293 ↗
20. 10.1016/j.nanoen.2016.05.03210.1016/j.nanoen.2016.05.032 ↗
21. 10.1016/j.nanoen.2016.12.00610.1016/j.nanoen.2016.12.006 ↗
22. 10.1002/adfm.20180643510.1002/adfm.201806435 ↗
23. 10.1016/j.nanoen.2020.10562510.1016/j.nanoen.2020.105625 ↗
24. 10.1002/adma.20140056210.1002/adma.201400562 ↗
25. 10.3390/s14020332310.3390/s140203323 ↗
26. Hugh L. F. · 2019
27. 10.1088/0957-4484/24/25/25570610.1088/0957-4484/24/25/255706 ↗
28. 10.1007/s13391-019-00195-y10.1007/s13391-019-00195-y ↗
29. 10.4191/kcers.2017.54.2.0310.4191/kcers.2017.54.2.03 ↗
30. 10.1063/1.299208110.1063/1.2992081 ↗
31. 10.1111/j.1551-2916.2011.04629.x10.1111/j.1551-2916.2011.04629.x ↗
32. 10.3390/s1909219610.3390/s19092196 ↗
33. 10.1002/aenm.20190368910.1002/aenm.201903689 ↗
34. 10.1002/aenm.20150005110.1002/aenm.201500051 ↗
35. 10.1109/JIOT.2014.230632810.1109/JIOT.2014.2306328 ↗