Research on Energy Harvester for Low Frequency Vibration Based on Inertial Rotary Structure

doi:10.3901/JME.2022.20.111

Abstract

Abstract: Some common vibration sources in our ambient environment are sampled and their spectrum are analyzed. The results show that low-frequency vibration sources are widely distributed and typically have large vibration acceleration, which means they are an ideal energy source for vibration energy harvesting. For low-frequency vibration sources, an energy harvester based on an inertial rotary structure is proposed, which can transfer linear motion to high-speed inertial rotary movement, and its operating principle and dynamic model are also analyzed in detail. The experimental results indicate that the energy harvester can collect 85.2 mJ of energy from one step of an adult, and the instantaneous output power can reach up to 32.2 mW. Through continuously collecting the energy generated by human walking, the energy harvester can successfully drive a wireless sensor health monitoring system to operate normally. Furthermore, by optimizing the device size and structure, the energy harvester can also be applied to collect ocean wave energy with 112.2 mW of average output power and 58.87 μW/cm³ of power density. The effects of device structure parameters and external excitation conditions on the output are also explored.

Key words: vibration energy harvesting, self-powered, sensor monitoring, wireless transmission

CLC Number:

TM619

XU Weihan, LUO Anxin, MA Xinyu, BAO Chen, WANG Fei. Research on Energy Harvester for Low Frequency Vibration Based on Inertial Rotary Structure[J]. Journal of Mechanical Engineering, 2022, 58(20): 111-119.

References

[1] 陈延辉，谢伟博，代克杰，等. 非谐振式低频电磁-摩擦电复合振动能收集器[J]. 物理学报，2020，69(20):316-325. CHEN Yanhui，XIE Weibo，DAI Kejie，et al. Non-resonant and low-frequency triboelectric- electromagnetic hybridized nanogenerator for vibration energy[J]. Acta Physics Science，2020，69(20):316-325.
[2] JIA Dewei，LIU Jing. Human power-based energy harvesting strategies for mobile electronic devices[J]. Frontiers of Energy and Power Engineering in China，2009，3(1):27-46.
[3] MITCHESON P D，YEATMAN E M，RAO G K，et al. Energy harvesting from human and machine motion for wireless electronic devices[J]. Proceedings of the IEEE，2008，96(9):1457-1486.
[4] BEEBY S P，TUDOR M J，WHITE N M. Energy harvesting vibration sources for microsystems applications[J]. Measurement Science and Technology，2006，17(12):R175-R195.
[5] SUZUKI Y. Recent progress in MEMS electret generator for energy harvesting[J]. IEEJ Transactions on Electrical and Electronic Engineering，2011，6(2):101-111.
[6] AKTAKKA E E，NAJAFI K. A micro inertial energy harvesting platform with self-supplied power management circuit for autonomous wireless sensor nodes[J]. IEEE Journal of Solid-State Circuits，2014，49(9):2017-2029.
[7] 薛晨阳，张浩凌，崔娟，等. 基于复合振动能量采集器的自供电无线传感微系统研究[J]. 机械工程学报，2021，57(8):57-64. XUE Chenyang，ZHANG Haoling，CUI Juan，et al. Research on the self-powered wireless sensor micro-system based on the hybrid vibration energy harvester[J]. Journal of Mechanical Engineering，2021，57(8):57-64.
[8] TAO Kai，TANG Lihua，WU Jin，et al. Investigation of multimodal electret-based MEMS energy harvester with impact-induced nonlinearity[J]. Journal of Microelectromechanical Systems，2018，27(2):276-288.
[9] MAHARJAN P，BHATTA T，RASEL M S，et al. High-performance cycloid inspired wearable electromagnetic energy harvester for scavenging human motion energy[J]. Applied Energy，2019，256:113987.
[10] WANG Guangqing，LU Yueming. An improved lumped parameter model for a piezoelectric energy harvester in transverse vibration[J]. Shock and Vibration，2014，2014:935298.
[11] ZHANG Yulong，WANG Tianyang，LUO Anxin，et al. Micro electrostatic energy harvester with both broad bandwidth and high normalized power density[J]. Applied Energy，2018，212:362-371.
[12] LUO Anxin，ZHANG Yulong，GUO Xinge，et al. Optimization of MEMS vibration energy harvester with perforated electrode[J]. Journal of Microelectromechanical Systems，2021，30(2):299-308.
[13] WANG Wei，CAO Junyi，ZHANG Nan，et al. Magnetic-spring based energy harvesting from human motions: Design，modeling and experiments[J]. Energy Conversion and Management，2017，132:189-197.
[14] LI Yunfei，GUO Qiyu，HUANG Manjuan，et al. Study of an electromagnetic ocean wave energy harvester driven by an efficient swing body toward the self-powered ocean buoy application[J]. IEEE Access，2019，7:129758-129769.
[15] NAKANO J. MEMS rotational electret energy harvester for human motion[C]//Proceedings of the 15th International Conference on Micro and Nanotechnology for Power Generation and Energy Conversion Applications. Bristol:Iop Publishing Ltd，2015，660:012052.
[16] HALIM M A，RANTZ R，ZHANG Q，et al. An electromagnetic rotational energy harvester using sprung eccentric rotor，driven by pseudo-walking motion[J]. Applied Energy，2018，217:66-74.
[17] LIU Huicong，HOU Cheng，LIN Jiahong，et al. A non-resonant rotational electromagnetic energy harvester for low-frequency and irregular human motion[J]. Applied Physics Letters，2018，113(20):203901.
[18] HOU Cheng，CHEN Tao，LI Yunfei，et al. A rotational pendulum based electromagnetic/triboelectric hybrid- generator for ultra-low-frequency vibrations aiming at human motion and blue energy applications[J]. Nano Energy，2019，63:103871.
[19] FAN Kangqi，CAI Meiling，WANG Fei，et al. A string-suspended and driven rotor for efficient ultra-low frequency mechanical energy harvesting[J]. Energy Conversion and Management，2019，198:111820.
[20] TAN Qinxue，FAN Kangqi，TAO Kai，et al. A two-degree-of-freedom string-driven rotor for efficient energy harvesting from ultra-low frequency excitations[J]. Energy，2020，196:117107.
[21] LUO Anxin，ZHANG Yulong，DAI Xiangtian，et al. An inertial rotary energy harvester for vibrations at ultra-low frequency with high energy conversion efficiency[J]. Applied Energy，2020，279:115762.
[22] ZHANG Yulong，LUO Anxin，WANG Yifan，et al. Rotational electromagnetic energy harvester for human motion application at low frequency[J]. Applied Physics Letters，2020，116(5):053902.
[23] WYATT L R. The ocean wave directional spectrum[J]. Oceanography，1997，10(2):85-89.
[24] ALBALADEJO C，SANCHEZ P，IBORRA A，et al. Wireless sensor networks for oceanographic monitoring:A systematic review[J]. Sensors，2010，10(7):6948-6968.