Performance Correction for Cantilevered Piezoelectric Energy Harvesters Considering Nonuniform Electric Field in the Piezoelectric Layer
Publication: Earth and Space 2021
ABSTRACT
Through advances in wireless sensor networks and micro electro-mechanical systems over the past couple of decades, energy harvesting from the ambient environment as a self-sustaining energy source has attracted more and more attention worldwide. Piezoelectric materials are ideal sources for energy harvesting, since they can convert minor mechanical energy, which is often neglected or wasted, into electrical energy directly. The most commonly used piezoelectric energy harvesting structure is the cantilevered beam. Investigators around the world have made significant effort on the modeling of cantilevered piezoelectric energy harvesters. Throughout previous modeling of cantilevered piezoelectric energy harvesters, without exception, the electric field in the piezoelectric layer is considered as uniform as the potential difference between the electrodes divided by the thickness of the piezoelectric layer. However, based on the uniform electric field assumption, the divergence of the electric displacement, which represent the free charge density, in the piezoelectric layer is nonzero. This is against a basic physical law, i.e., the free charge in an insulator should be zero. By introducing the divergence of the electric displacement in the piezoelectric layer as zero, we found that the electric field in the piezoelectric layer is actually nonuniform. Using the electrical boundary conditions, the nonuniform electric field in the piezoelectric layer is derived and utilized in a distributed parameter model. Considering the present proposed nonuniform electric field, the theoretical performance of a cantilevered energy harvester is corrected. The proposed nonuniform electric field could also be applied to other bending piezoelectric components such as composite piezoelectric plates.
Get full access to this article
View all available purchase options and get full access to this chapter.
REFERENCES
Anton, S. R., and Sodano, H. A. (2007). A review of power harvesting using piezoelectric materials (2003-2006). Smart Materials and Structures, 16(3), R1-R21.
Erturk, A., and Inman, D. J. (2008a). A distributed parameter electromechanical model for cantilevered piezoelectric energy harvesters. Journal of Vibration and Acoustics, 130(4), 041002.
Erturk, A., and Inman, D. J. (2008b). On mechanical modeling of cantilevered piezoelectric vibration energy harvesters. Journal of Intelligent Material Systems and Structures, 19(11), 1311-1325.
Erturk, A., and Inman, D. J. (2009). An experimentally validated bimorph cantilever model for piezoelectric energy harvesting from base excitations. Smart Materials and Structures, 18(2), 025009.
Ji, Q., Ding, Z., Wang, N., Pan, M., and Song, G. (2018). A novel waveform optimization scheme for piezoelectric sensors wire-free charging in the tightly insulated environment. Ieee Internet of Things Journal, 5(3), 1936-1946.
Kazmierkowski, M. P., and Moradewicz, A. J. (2012). Unplugged but connected: review of contactless energy transfer systems. Ieee Industrial Electronics Magazine, 6(4), 47-55.
Liang, Y., Li, D., Parvasi, S. M., and Song, G. (2016). Load monitoring of pin-connected structures using piezoelectric impedance measurement. Smart Materials and Structures, 25(10), 105011.
Parvasi, S. M., Ji, Q., and Song, G. (2016). Structural health monitoring of plate-like structures using compressive/shear modes of piezoelectric transducers. Earth and Space, 1033.
Qin, L., Wang, J., Liu, D., Tang, L., and Song, G. (2019). Analysis on an improved resistance tuning type multi-frequency piezoelectric spherical transducer. Smart Structures and Systems, 24(4), 435-446.
Roes, M. G., Duarte, J. L., Hendrix, M. A., and Lomonova, E. A. (2013). Acoustic energy transfer: a review. Ieee Transactions On Industrial Electronics, 60(1), 242-248.
Safaei, M., Sodano, H. A., and Anton, S. R. (2019). A review of energy harvesting using piezoelectric materials: state-of-the-art a decade later (2008-2018). Smart Materials and Structures, 28(11), 113001.
Shi, Z. F., Li, J. L., & Yao, R. X. (2015). Solution modification of a piezoelectric bimorph cantilever under loads. Journal of Intelligent Material Systems and Structures, 26(15), 2028-2041.
Wang, F., Huo, L., & Song, G. (2017). A piezoelectric active sensing method for quantitative monitoring of bolt loosening using energy dissipation caused by tangential damping based on the fractal contact theory. Smart Materials and Structures, 27(1), 015023.
Wang, F., Ho, S. C. M., & Song, G. (2019). Modeling and analysis of an impact-acoustic method for bolt looseness identification. Mechanical Systems and Signal Processing, 133, 106249.
Wang, F., Chen, Z., & Song, G. (2020). Monitoring of multi-bolt connection looseness using entropy-based active sensing and genetic algorithm-based least square support vector machine. Mechanical Systems and Signal Processing, 136, 106507.
Wang, J. J., Shi, Z. F., Xiang, H. J., & Song, G. (2015). Modeling on energy harvesting from a railway system using piezoelectric transducers. Smart Materials and Structures, 24(10), 105017.
Wang, X. F., Shi, Z. F., Wang, J. J., & Xiang, H. J. (2016). A stack-based flex-compressive piezoelectric energy harvesting cell for large quasi-static loads. Smart Materials and Structures, 25(5), 055005.
Wang, X. F., & Shi, Z. F. (2017). Double piezoelectric energy harvesting cell: modeling and experimental verification. Smart Materials and Structures, 26(6), 065002.
Wang, X. F. (2017). Application of flex-compressive piezoelectric energy harvesting cell in railway system. In 21st International Conference on Composite Materials.
Wang, X. F., & Shi, Z. F. (2015). Unified solutions for piezoelectric bilayer cantilevers and solution modifications. Smart Structures and Systems, 16(5), 759-780.
Wang, X. F., Shi, Z. F., & Song, G. (2019). Analytical study of influence of boundary conditions on acoustic power transfer through an elastic barrier. Smart Materials and Structures, 28, 025004.
Yang, D. X., Hu, Z., Zhao, H., Hu, H. F., Sun, Y. Z., and Hou, B. J. (2015). Through-metal-wall power delivery and data transmission for enclosed sensors: a review. Sensors, 15(12), 31581-31605.
Zheng, L., Cheng, H., Huo, L., & Song, G. (2019). Monitor concrete moisture level using percussion and machine learning. Construction and Building Materials, 229, 117077.
Information & Authors
Information
Published In
Copyright
© 2021 American Society of Civil Engineers.
History
Published online: Apr 15, 2021
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.