Power Generation Technology ›› 2023, Vol. 44 ›› Issue (2): 244-252.DOI: 10.12096/j.2096-4528.pgt.22051
• New Energy • Previous Articles Next Articles
Yongbao YANG1, Bo ZHANG1, Lichang ZHANG2, Matthias Rätsch3, Yuchao SUO1
Received:
2022-05-03
Published:
2023-04-30
Online:
2023-04-28
Supported by:
CLC Number:
Yongbao YANG, Bo ZHANG, Lichang ZHANG, Matthias Rätsch, Yuchao SUO. Design of Electromagnetic Vibration Power Generation Based on Spring Amplitude Amplification[J]. Power Generation Technology, 2023, 44(2): 244-252.
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URL: https://www.pgtjournal.com/EN/10.12096/j.2096-4528.pgt.22051
1 | 姜红丽,刘羽茜,冯一铭,等 .碳达峰、碳中和背景下“十四五”时期发电技术趋势分析[J].发电技术,2022,43(1):54-64. doi:10.12096/j.2096-4528.pgt.21030 |
JIANG H L, LIU Y X, FENG Y M,et al . Analysis of power generation technology trend in 14th Five-Year Plan under the background of carbon peak and carbon neutral[J].Power Generation Technology,2022,43(1):54-64. doi:10.12096/j.2096-4528.pgt.21030 | |
2 | 朱凯,张艳红 .“双碳”形势下电力行业氢能应用研究[J].发电技术,2022,43(1):65-72. doi:10.12096/j.2096-4528.pgt.21098 |
ZHU K, ZHANG Y H .Research on application of hydrogen in power industry under “double carbon” circumstanc[J].Power Generation Technology,2022,43(1):65-72. doi:10.12096/j.2096-4528.pgt.21098 | |
3 | WANG K, WANG G, DAI X,et al .Implementation of dual-nonlinearity mechanism for bandwidth extension of MEMS multi-modal energy harvester[J].Journal of Microelectromechanical Systems,2020,30(1):2-14. doi:10.1109/jmems.2020.3036901 |
4 | SRIRAMDAS R, PRATAP R .Scaling and performance analysis of MEMS piezoelectric energy harvesters[J].Journal of Microelectromechanical Systems,2017,26(3):679-690. doi:10.1109/jmems.2017.2689326 |
5 | QUATTROCCHI A, FRENI F, MONTANINI R .Power conversion efficiency of cantilever-type vibration energy harvesters based on piezoceramic films[J].IEEE Transactions on Instrumentation and Measurement,2020,70:1-9. doi:10.1109/tim.2020.3026462 |
6 | HASEGAWA K, UENO T, KIWATA T .Proposal of wind vibrational power generator using magnetostrictive material[J].IEEE Transactions on Magnetics,2019,55(7):1-4. doi:10.1109/tmag.2019.2904538 |
7 | 高爽 .悬臂式Fe-Ga合金振动发电系统特性研究[D].沈阳:沈阳工业大学,2019. |
GAO S .Research on characteristics of cantilever Fe-Ga alloy vibration power generation system[D].Shenyang:Shenyang University of Technology,2019. | |
8 | KITTIPAISALSILPA K, KATO T, SUZUKI Y .Liquid-crystal-enhanced electrostatic vibration generator[C]//2016 IEEE 29th International Conference on Micro Electro Mechanical Systems (MEMS).Shanghai,China:IEEE,2016:37-40. doi:10.1109/memsys.2016.7421551 |
9 | HONMA H, TOSHIYOSHI H .A double-deck structured MEMS electrostatic vibrational energy harvester for minimal footprint[C]//2019 IEEE 32nd International Conference on Micro Electro Mechanical Systems (MEMS).Seoul,South Korea:IEEE,2019:1017-1020. doi:10.1109/memsys.2019.8870642 |
10 | JIANG D, LIU G, LI W,et al .A leaf-shaped triboelectric nanogenerator for multiple ambient mechanical energy harvesting[J].IEEE Transactions on Power Electronics,2019,35(1):25-32. doi:10.1109/tpel.2019.2921152 |
11 | FAN K, LIU J, WEI D,et al .A cantilever-plucked and vibration-driven rotational energy harvester with high electric outputs[J].Energy Conversion and Management,2021,244:114504. doi:10.1016/j.enconman.2021.114504 |
12 | ZHANG Y, LUO A, WANG Y,et al .Rotational electromagnetic energy harvester for human motion application at low frequency[J].Applied Physics Letters,2020,116(5):053902. doi:10.1063/1.5142575 |
13 | WANG Y, WANG P, LI S,et al .An electro-magnetic vibration energy harvester using a magnet-array-based vibration-to-rotation conversion mechanism[J].Energy Conversion and Management,2022,253:115146. doi:10.1016/j.enconman.2021.115146 |
14 | FOONG F M, THEIN C K, YURCHENKO D .Structural optimisation through material selections for multi-cantilevered vibration electromagnetic energy harvesters[J].Mechanical Systems and Signal Processing,2022,162:108044. doi:10.1016/j.ymssp.2021.108044 |
15 | THEIN C K, FOONG F M, SHU Y C .Damping ratio and power output prediction of an electromagnetic energy harvester designed through finite element analysis[J].Sensors and Actuators A:Physical,2019,286:220-231. doi:10.1016/j.sna.2018.12.041 |
16 | QIU J, LIU X, CHEN H,et al .A low-frequency resonant electromagnetic vibration energy harvester employing the Halbach arrays for intelligent wireless sensor networks[J].IEEE Transactions on Magnetics,2015,51(11):1-4. doi:10.1109/tmag.2015.2455041 |
17 | NEZAMI S, LEE S, JIN J,et al .Shape optimization of railroad vibration energy harvester for structural robustness and power generation performance[J].Engineering Structures,2018,173:460-471. doi:10.1016/j.engstruct.2018.07.011 |
18 | NGUYEN H T, GENOV D A, BARDAWEEL H .Vibration energy harvesting using magnetic spring based nonlinear oscillators:design strategies and insights[J].Applied Energy,2020,269:115102. doi:10.1016/j.apenergy.2020.115102 |
19 | HE W, QU C .A magnetically levitated magneto-electric vibration generator using a Halbach array[J].Sensors and Actuators A:Physical,2020,315:112301. doi:10.1016/j.sna.2020.112301 |
20 | YANG X, LAI S K, WANG C,et al .On a spring-assisted multi-stable hybrid-integrated vibration energy harvester for ultra-low-frequency excitations[J].Ener-gy,2022:124028. doi:10.1016/j.energy.2022.124028 |
21 | 张博,杨永宝,冯智,等 .一种汲取振动能量的圆筒型直线发电机:ZL202122032818.X[P].2022-02-01. doi:10.1109/ldia49489.2021.9505940 |
ZHANG B, YANG Y B, FENG Z,et al .A cylindrical linear generator that absorbs vibration energy:ZL202122032818.X[P].2022-02-01. doi:10.1109/ldia49489.2021.9505940 |
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