Development of a tunable low-frequency vibration energy harvester and its application to a self-contained wireless fatigue crack detection sensor

Abstract

In this study, a tunable electromagnetic energy harvesting system, consisting of an energy harvester and energy harvesting circuits, is developed for harnessing energy from low-frequency vibration (below 10 Hz) of a bridge, and the harvesting system is integrated with a wireless fatigue crack detection sensor. The uniqueness of the proposed energy harvesting system includes that (1) the resonance frequencies of the proposed energy harvester can be readily tuned to the resonance frequencies of a host structure, (2) an improved energy harvesting efficiency compared to other electromagnetic energy harvesters is achieved in low-frequency and vibration, and (3) high-efficiency energy harvesting circuits for rectification are developed. Furthermore, the developed energy harvesting system is integrated with an on-site wireless sensor deployed on Yeongjong Grand Bridge in South Korea for online fatigue crack detection. To the best knowledge of the authors, this is the very first study where a series of low-frequency vibration energy harvesting, rectification, and battery charging processes are demonstrated under a real field condition. The field test conducted on Yeongjong Grand Bridge, where fatigue cracks have become of a great concern, shows that the proposed energy harvester can generate a peak voltage of 2.27 V and a root mean square voltage of 0.21 V from 0.18-m/s² root mean square acceleration at 3.05 Hz. It is estimated the proposed energy harvesting system can harness around 67.90 J for 3 weeks and an average power of 37.42 µW. The battery life of the wireless sensor is expected to extend from 1.5 to 2.2 years. The proposed energy harvesting circuits, composed of the AC–DC and boost-up converters, exhibit up to 50% battery charging efficiency when the voltage generated by the proposed energy harvester is 200 mV or higher. The proposed boost-up converter has a 100 times wider input power range than a conventional boost-up converter with a similar efficiency.

Keywords

Electromagnetic energy harvesting low-frequency vibration frequency tuning energy harvesting circuits wireless sensor fatigue crack

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References

Mainwaring

Culler

Polastre

et al . Wireless sensor networks for habitat monitoring. In: Proceedings of the association for computing machinery international workshop on wireless sensor networks and applications, Atlanta, GA, 28 September 2002, pp. 88–97. New York: IEEE.

Lynch

Wang

Loh

et al . Performance monitoring of the Geumdang Bridge using a dense network of high-resolution wireless sensors. Smart Mater Struct 2006; 15: 1561–1575.

Sazonov

Krishnamurthy

Schilling

Wireless intelligent sensor and actuator network—a scalable platform for time-synchronous applications of structural health monitoring. Struct Health Monit 2010; 9: 465–476.

Quinn

Kelly

Barrett

Development of an embedded wireless sensing system for the monitoring of concrete. Struct Health Monit 2012; 11: 381–392.

Hassan

Bach

Improving security connection in wireless sensor networks. Int J Sci Res 2014; 2: 301–307.

Jang

Cho

et al . Structural health monitoring of a cable-stayed bridge using smart sensor technology: deployment and evaluation. Smart Struct Syst 2010; 6: 439–459.

Swartz

Jun

Lynch

et al . Design of a wireless sensor for scalable distributed in-network computation in a structural health monitoring system. In: Proceedings of the international workshop on structural health monitoring, Stanford, CA, September 2005, pp. 1570–1577. Stanford, CA: Stanford University.

Kim

Lynch

Zonta

et al . Reconfigurable wireless monitoring systems for bridges: validation on the Yeondae Bridge. In: Proceedings of the SPIE 7292 sensors and smart structures technologies for civil, mechanical and aerospace systems, San Diego, CA, 30 March 2009, p. 72920T. Bellingham, WA: SPIE.

Chacon

Guzman

Mirambell

et al . Wireless sensor networks for strain monitoring during steel bridges launching. Struct Health Monit 2009; 8: 195–205.

10.

Rice

Mechitov

Sim

et al . Flexible smart sensor framework for autonomous structural health monitoring. Smart Struct Syst 2010; 6: 423–438.

11.

Liu

Lim

Yang

et al . Development of a “Stick-and-detect” wireless sensor node for fatigue crack detection. Struct Health Monit 2016; 16: 153–163.

12.

Kaur

Walia

Malhotra

Activation matrix oriented base station implementation for energy optimization on wireless sensor network. Int J Comput Corp Res 2014; 4: 17.

13.

Panasonic. Amorphous silicon solar cells/amorphous photosensors AM5907 datasheet. Kadoma, Japan: Panasonic, 2011.

14.

Priya

Chen

Fye

et al . Piezoelectric windmill: a novel solution to remote sensing. Jan J Appl Phys 2007; 44: 104–107.

15.

Rancourt

Tabesh

Frechette

LG.

Evaluation of centimeter-scale micro windmills: aerodynamics and electromagnetic power generation. In: Proceedings of the PowerMEMS, Freiburg, 27–29 November 2007, pp. 93–96. Bristol, UK: IOP Publishing.

16.

Yuan

et al . Design of a miniature wind turbine for powering wireless sensors. In: Proceedings of the SPIE 7647 sensors and smart structures technologies for civil, mechanical, and aerospace systems, San Diego, CA, 31 March 2010, p. 764741. Bellingham, WA: SPIE.

17.

Park

Jung

et al . Feasibility study of micro-wind turbines for powering wireless sensors on a cable-stayed bridge. Energies 2012; 5: 3450–3464.

18.

Kim

Jang

Jung

HJ.

Performance enhancement of a rotational energy harvester utilizing wind-induced vibration of an inclined stay cable. Smart Mater Struct 2013; 22: 0750047.

19.

Bachmann

Ammann

Vibrations in structures induced by man and machines. Zurich: IABSE, 1987.

20.

Sazonov

Pilay

Self-powered sensors for monitoring of highway bridges. IEEE Sens J 2009; 9: 1422–1429.

21.

Galchev

McCullagh

Peterson

et al . Harvesting traffic-induced vibrations for structural health monitoring of bridges. J Micromech Microeng 2011; 21: 104005.

22.

Jang

Kim

Jung

et al . A tunable rotational energy harvester for low frequency vibration. Appl Phys Lett 2011; 99: 1341023.

23.

McCullagh

Galchev

Peterson

et al . Long-term testing of a vibration harvesting system for the structural health monitoring of bridges. Sens Actuators A Phys 2014; 217: 139–150.

24.

Kwon

Park

Law

. Electromagnetic energy harvester with repulsively stacked multilayer magnets for low frequency vibrations. Smart Mater Struct 2013; 22: 05500712.

25.

McEvoy

Dierks

Weaver

et al . Developing innovative energy harvesting approaches for infrastructure health monitoring systems. In: Proceedings of the ASME design engineering technical conference, Washington, DC, 18–31 August 2011, pp. 325–339. New York: ASME.

26.

Palagummi

Yuan

FG.

An enhanced performance of a horizontal diamagnetic levitation mechanism-based vibration energy harvester for low frequency applications. J Intell Mater Syst Struct 2017; 28: 578–594.

27.

Mitcheson

Yeatman

Rao

et al . Energy harvesting from human and machine motion for wireless electronic devices. Proc IEEE 2008; 96: 1457–1486.

28.

Yang

Kim

Liu

et al . Two degrees-of-freedom electromagnetic system for harvesting energy from low-frequency bridge vibration. In: Proceedings of the 22nd international congress on sound and vibration, Florence, 12–16 July 2015, pp. 6158–6164. Auburn, AL: International Institute of Acoustics and Vibration (IIAV).

29.

Cottone

Frizzell

Goyal

et al . Enhanced vibrational energy harvester based on velocity amplification. J Intell Mater Syst Struct 2014; 25: 443–451.

30.

Lee

Kim

Lim

et al . Design optimization process for electromagnetic vibration energy harvesters using finite element analysis. T Korean Soc Noise Vib Eng 2014; 24: 809–816.

31.

Beeby

Torah

Tudor

et al . A micro electromagnetic generator for vibration energy harvesting. J Micromech Microeng 2007; 17: 1257–1265.

32.

Paradiso

Starner

Energy scavenging for mobile and wireless electronics. IEEE Pervasive Comput 2005; 4: 18–27.

33.

Cheng

Jin

Rao

et al . An active voltage doubling AC/DC converter for low-voltage energy harvesting applications. IEEE T Power Electron 2011; 26: 2258–2265.

34.

Jung

Lee

Yang

et al . A 20nW-to-140mW input power range, 94% peak efficiency energy-harvesting battery charger with frequency-sweeping input voltage monitor and optimal on-time generator. In: Proceedings of the IEEE symposium of VLSI circuits, Kyoto, Japan, 5–8 June 2017, pp. 204–205. New York: IEEE.

35.

Texas Instruments. Ultra-low power boost converter BQ25504 datasheet. Dallas, TX: Texas Instruments, 2015.

36.

Foisal

ARM

Hong

Chung

GS.

Multi-frequency electromagnetic energy harvester using a magnetic spring cantilever. Sens Actuators A Phys 2012; 182: 106–113.

37.

Campbell

FC.

Elements of metallurgy and engineering alloys. Cleveland, OH: ASM International, 2008.

38.

Kim

Jacobs

Nonlinear ultrasonic techniques for nondestructive damage assessment in metallic materials. In: Proceedings of the international workshop on structural health monitoring, Stanford, CA, 13–15 September 2011, pp. 531–538. Stanford, CA: Stanford University.

39.

Yoder

Adams

DE.

Vibro-acoustic modulation using a swept probing signal for robust crack detection. Struct Health Monit 2010; 9: 257–267.

40.

Lim

Kim

Koo

et al . Development and field application of a nonlinear ultrasonic modulation technique for fatigue crack detection without reference data from an intact condition. Smart Mater Struct 2016; 25: 09505514.