Energy Collector Based on Piezoelectric Nano Materials in the Power Supply System to Improve the Efficiency of Industrial Internet of Things (IIoT) for Industry 4.0

Document Type : Special Issue on BDCPSI

Author

College of Logistics Information, Henan Logistics Vocational College, Xinxiang, China

Abstract

Due to the strong electromechanical coupling, small size and high sensitivity, piezoelectric nanomaterials have been widely used in generators, sensors and other fields. In this paper, the characteristics of energy collector in IIoT power supply system based on piezoelectric nano-materials are analyzed. PVDF piezoelectric nanofibers are prepared by electrospinning technology. The material and control chips are integrated into a bimodal piezoelectric energy collector. The effectiveness is analyzed experimentally. The experimental results show that the resonant frequency of energy collection varies with the length of the cantilever arm. When the length of the cantilever arm is 12mm, the installation error of 1.0mm length leads to 3.5% of the resonant frequency error. The optimal load of piezoelectric vibration collectors with different cantilever arms is 400K. The output power of CUB, BRG and BTG are 50.7 μ W 55.6 μ W and 51.8 μ W, respectively. At the same time, the working frequency band of energy collectors with various cantilever structures is 12Hz to 18Hz. The optimal excitation frequency is 16Hz. In summary, the energy collector of power system constructed by piezoelectric nano-materials proposed by many researchers has high efficiency, which can provide a quick solution for IIOT in Industry 4.0 and enhance the power generation mechanism. It is of great significance to the development of IIOT in practice.

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Main Subjects

References

  1. Zhan, H., Tian, H., Niu, B. and Li, C., "Time-frequency analysis method based on multi-resolution gaussian filter bank", Journal of China Electronic Science Research Institute, Vol. 12, No. 6, (2017), 655-661. https://doi.org/10.3969/j.issn.1673-5692.2017.06.017
  2. Nan, Y., Tan, D., Shao, J., Willatzen, M. and Wang, Z.L., "2d materials as effective cantilever piezoelectric nano energy harvesters", ACS Energy Letters, Vol. 6, No. 6, (2021), 2313-2319. https://doi.org/10.1021/acsenergylett.1c00901
  3. Kaur, M., "Elitist multi-objective bacterial foraging evolutionary algorithm for multi-criteria based grid scheduling problem", in 2016 International Conference on Internet of Things and Applications (IOTA), IEEE. (2016), 431-436.
  4. Hao, J., Yi, M. and Fan, J., "Modeling and simulation of magnetic field strength distribution characteristics of ingot electromagnetic casting", Comp Simulat, Vol. 36, (2019), 40-243. https://doi.org/10.3969/j.issn.1006-9348.2019.05.048
  5. Choi, N., Kim, D., Lee, S.-J. and Yi, Y., "A fog operating system for user-oriented iot services: Challenges and research directions", IEEE Communications Magazine, Vol. 55, No. 8, (2017), 44-51. https://doi.org/10.1109/MCOM.2017.1600908
  6. Aktas, O., Kangama, M., Linyu, G., Ding, X., Carpenter, M. and Salje, E., "Probing the dynamic response of ferroelectric and ferroelastic materials by simultaneous detection of elastic and piezoelectric properties", Journal of Alloys and Compounds, Vol. 903, (2022), 163857. https://doi.org/10.1016/j.jallcom.2022.163857
  7. Cheng, G., Lu, Y. and Venkatesh, T., "Indentation of piezoelectric micro-and nanostructures", International Journal of Modern Physics B, Vol. 36, No. 09n11, (2022), 2240035. https://doi.org/10.1142/S0217979222400355
  8. Chaudhary, V., Khanna, V., Awan, H.T.A., Singh, K., Khalid, M., Mishra, Y.K., Bhansali, S., Li, C.-Z. and Kaushik, A., "Towards hospital-on-chip supported by 2d mxenes-based 5th generation intelligent biosensors", Biosensors and Bioelectronics, Vol. 220, (2023), 114847. https://doi.org/10.1016/j.bios.2022.114847
  9. Lee, C.Y., Kim, W.C., Kim, H.J., Huh, H.D., Park, S., Choi, S.H., Kim, K.B., Min, C.K., Kim, S.H. and Shin, D.O., "Comparative dosimetric characterization for different types of detectors in high-energy electron beams", Journal of the Korean Physical Society, Vol. 70, (2017), 317-324. https://doi.org/10.3938/jkps.70.317
  10. Almonacid, F., Fernandez, E.F., Mellit, A. and Kalogirou, S., "Review of techniques based on artificial neural networks for the electrical characterization of concentrator photovoltaic technology", Renewable and Sustainable Energy Reviews, Vol. 75, (2017), 938-953. https://doi.org/10.1016/j.rser.2016.11.075
  11. Zhuang, T., Ren, M., Gao, X., Dong, M., Huang, W. and Zhang, C., "Insulation condition monitoring in distribution power grid via iot-based sensing network", IEEE Transactions on Power Delivery, Vol. 34, No. 4, (2019), 1706-1714. https://doi.org/10.1109/TPWRD.2019.2918289
  12. Wang, Y., Li, H. and Li, X., "A case of on-chip memory subsystem design for low-power cnn accelerators", IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Vol. 37, No. 10, (2017), 1971-1984. https://doi.org/10.1109/tcad.2017.2778060
  13. Lu, F., Wang, Y., Wang, X., Liao, X., He, Z. and Yan, Z., "Study on the collaborative discharge of a double superconducting pulsed power supply based on htsppt modules", IEEE Transactions on Applied Superconductivity, Vol. 28, No. 2, (2017), 1-7. https://doi.org/10.1109/TASC.2017.2776269
  14. Abasian, A. and Tabesh, A., "Characterization of piezoelectric energy harvesters using frequency-weighted impedance method", IEEE Transactions on Industrial Electronics, Vol. 65, No. 10, (2018), 7954-7962. https://doi.org/10.1109/TIE.2018.2803722
  15. Chandrasekhar, A., Alluri, N.R., Sudhakaran, M., Mok, Y.S. and Kim, S.-J., "A smart mobile pouch as a biomechanical energy harvester towards self-powered smart wireless power transfer applications", Nanoscale, Vol. 9, No. 28, (2017), 9818-9824. https://doi.org/10.1039/c7nr00110j
  16. Xie, X., Carpinteri, A. and Wang, Q., "A theoretical model for a piezoelectric energy harvester with a tapered shape", Engineering Structures, Vol. 144, (2017), 19-25. https://doi.org/10.1016/j.engstruct.2017.04.050
  17. Wu, W.-H., Kuo, K.-C., Lin, Y.-H. and Tsai, Y.-C., "Non-contact magnetic cantilever-type piezoelectric energy harvester for rotational mechanism", Microelectronic Engineering, Vol. 191, (2018), 16-19. https://doi.org/10.1016/j.mee.2018.01.026
  18. Acciari, G., Caruso, M., Miceli, R., Riggi, L., Romano, P., Schettino, G. and Viola, F., "Piezoelectric rainfall energy harvester performance by an advanced arduino-based measuring system", IEEE Transactions on Industry Applications, Vol. 54, No. 1, (2017), 458-468. https://doi.org/10.1109/TIA.2017.2752132
  19. Arroyo, E., Jia, Y., Du, S., Chen, S.-T. and Seshia, A.A., "Experimental and theoretical study of a piezoelectric vibration energy harvester under high temperature", Journal of Microelectromechanical Systems, Vol. 26, No. 6, (2017), 1216-1225. https://doi.org/10.1109/JMEMS.2017.2723626
  20. Mareschal, B., Kaur, M., Kharat, V. and Sakhare, S.S., "Convergence of smart technologies for digital transformation", Tehnički glasnik, Vol. 15, No. 1, (2021), II-IV. https://doi.org/10.31803/tg-20210225102651
  21. Jiang, L., Sakhare, S.R. and Kaur, M., "Impact of industrial 4.0 on environment along with correlation between economic growth and carbon emissions", International Journal of System Assurance Engineering and Management, (2021), 1-9. https://doi.org/10.1007/s13198-021-01456-6
  22. Fechet, R., Petrariu, A.I. and Graur, A., "Partial discharge and internet of things: A switchgear cell maintenance application using microclimate sensors", Sensors, Vol. 21, No. 24, (2021), 8372. https://doi.org/10.3390/s21248372
  23. Zhang, L., Guo, J. and Xing, Y., "Bending analysis of functionally graded one-dimensional hexagonal piezoelectric quasicrystal multilayered simply supported nanoplates based on nonlocal strain gradient theory", Acta Mechanica Solida Sinica, Vol. 34, (2021), 237-251. https://doi.org/10.1007/s10338-020-00204-w
International Journal of Engineering
Volume 36, Issue 7
TRANSACTIONS A: Basics
July 2023
Pages 1239-1249

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