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Optimum resistance analysis and experimental verification of nonlinear piezoelectric energy harvesting from human motions

Author

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  • Wang, Wei
  • Cao, Junyi
  • Bowen, Chris R.
  • Zhou, Shengxi
  • Lin, Jing

Abstract

The complex dynamic behavior of nonlinear harvesters make it difficult to identify the optimum mechanical and electrical parameters for maximum output power, when compared to linear energy harvesting devices. In addition, the chaotic and multi-frequencies characteristics of responses under realistic human motion excitations provide additional challenges for enhancing the energy harvesting performance, such as the traditional frequency domain method being inappropriate for optimum resistance selection. This paper provides detailed numerical and experimental investigations into the influence of resistance on the efficiency of nonlinear energy harvesting from human motions. Numerical simulations under human motions indicate that optimum resistance of a nonlinear harvester can be attained to maximize the power output. Moreover, simulations of linear and nonlinear harvesters under harmonic excitations verify the effectiveness of frequency dominant method to obtain optimum resistance in the absence of a change in the dynamic behavior of the harvester. However, numerical simulations and experiments are the effective methods when the harvester shows complex dynamic characteristics. Experimental measurements of harvested power under different motion speeds and resistances are in agreement to the numerical analysis for the nonlinear harvester. The results demonstrate the effectiveness of the proposed resistance optimization method for nonlinear energy harvesting from human motions.

Suggested Citation

  • Wang, Wei & Cao, Junyi & Bowen, Chris R. & Zhou, Shengxi & Lin, Jing, 2017. "Optimum resistance analysis and experimental verification of nonlinear piezoelectric energy harvesting from human motions," Energy, Elsevier, vol. 118(C), pages 221-230.
    • Handle: RePEc:eee:energy:v:118:y:2017:i:c:p:221-230
    DOI: 10.1016/j.energy.2016.12.035
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    References listed on IDEAS

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    1. Zhou, Shengxi & Cao, Junyi & Inman, Daniel J. & Lin, Jing & Liu, Shengsheng & Wang, Zezhou, 2014. "Broadband tristable energy harvester: Modeling and experiment verification," Applied Energy, Elsevier, vol. 133(C), pages 33-39.
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    5. Md Maruf Hossain Shuvo & Twisha Titirsha & Nazmul Amin & Syed Kamrul Islam, 2022. "Energy Harvesting in Implantable and Wearable Medical Devices for Enduring Precision Healthcare," Energies, MDPI, vol. 15(20), pages 1-50, October.
    6. Mi, Jia & Li, Qiaofeng & Liu, Mingyi & Li, Xiaofan & Zuo, Lei, 2020. "Design, modelling, and testing of a vibration energy harvester using a novel half-wave mechanical rectification," Applied Energy, Elsevier, vol. 279(C).
    7. Wijewardhana, K. Rohana & Ekanayaka, Thilini K. & Jayaweera, E.N. & Shahzad, Amir & Song, Jang-Kun, 2018. "Integration of multiple bubble motion active transducers for improving energy-harvesting efficiency," Energy, Elsevier, vol. 160(C), pages 648-653.
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    9. Zhou, Ning & Hou, Zehao & Zhang, Ying & Cao, Junyi & Bowen, Chris R., 2021. "Enhanced swing electromagnetic energy harvesting from human motion," Energy, Elsevier, vol. 228(C).
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    11. Ghodsi, Mojtaba & Ziaiefar, Hamidreza & Mohammadzaheri, Morteza & Al-Yahmedi, Amur, 2019. "Modeling and characterization of permendur cantilever beam for energy harvesting," Energy, Elsevier, vol. 176(C), pages 561-569.
    12. He, Lipeng & Gu, Xiangfeng & Hou, Yi & Hu, Renhui & Zhou, Jianwen & Cheng, Guangming, 2022. "A piezoelectric energy harvester for collecting environment vibration excitation," Renewable Energy, Elsevier, vol. 200(C), pages 537-545.
    13. Salazar, R. & Serrano, M. & Abdelkefi, A., 2020. "Fatigue in piezoelectric ceramic vibrational energy harvesting: A review," Applied Energy, Elsevier, vol. 270(C).
    14. Qian, Feng & Xu, Tian-Bing & Zuo, Lei, 2019. "Piezoelectric energy harvesting from human walking using a two-stage amplification mechanism," Energy, Elsevier, vol. 189(C).
    15. Jasim, Abbas & Wang, Hao & Yesner, Greg & Safari, Ahmad & Maher, Ali, 2017. "Optimized design of layered bridge transducer for piezoelectric energy harvesting from roadway," Energy, Elsevier, vol. 141(C), pages 1133-1145.
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