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Stochastic response of an energy harvesting system with viscoelastic element under Gaussian white noise excitation

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  • Guo, Shu-Ling
  • Yang, Yong-Ge
  • Sun, Ya-Hui

Abstract

Energy harvesting system is a facility that converts waste kinetic energy into serviceable electric energy. Vibration energy harvesting (VEH)) technology can be used in many different domains, such as controllers, medical implants, wireless sensors. Therefore, for the past few years, energy harvesting has become a prominent and growing field of research. There were few works focused on the vibration energy harvesting with viscoelastic property under random excitation. The crucial difference of the present study and previous studies is that we consider the viscoelastic property and the random excitation simultaneously: the stochastic response of energy harvesting and viscoelastic system subjected to Gaussian white noise excitation is investigated in this paper. First, the term associated with the viscoelasticity can be approximately replaced by stiffness and damping forces via variables transformation. Thus, an equivalent stochastic system without viscoelastic element can be obtained. Then, the approximately analytical solutions of the equivalent stochastic system can be given by the stochastic averaging approach. Furthermore, the theoretical analysis results are compared with the numerical results obtained by Monte Carlo method. The numerical results indicate that the method presented in this paper has a satisfactory level of accuracy. The last, the effects of system parameters on the mean square value and mean output power are discussed. The results show that the noise intensity, electro-magnetic coupling term and the ratio of the resistance and inductance has a positive effect on the mean output power.

Suggested Citation

  • Guo, Shu-Ling & Yang, Yong-Ge & Sun, Ya-Hui, 2021. "Stochastic response of an energy harvesting system with viscoelastic element under Gaussian white noise excitation," Chaos, Solitons & Fractals, Elsevier, vol. 151(C).
    • Handle: RePEc:eee:chsofr:v:151:y:2021:i:c:s0960077921005853
    DOI: 10.1016/j.chaos.2021.111231
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    References listed on IDEAS

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    1. Karasu, Seçkin & Altan, Aytaç & Bekiros, Stelios & Ahmad, Wasim, 2020. "A new forecasting model with wrapper-based feature selection approach using multi-objective optimization technique for chaotic crude oil time series," Energy, Elsevier, vol. 212(C).
    2. Yang, Tao & Liu, Jiye & Cao, Qingjie, 2018. "Response analysis of the archetypal smooth and discontinuous oscillator for vibration energy harvesting," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 507(C), pages 358-373.
    3. Mokem Fokou, I.S. & Nono Dueyou Buckjohn, C. & Siewe Siewe, M. & Tchawoua, C., 2016. "Probabilistic behavior analysis of a sandwiched buckled beam under Gaussian white noise with energy harvesting perspectives," Chaos, Solitons & Fractals, Elsevier, vol. 92(C), pages 101-114.
    4. Yang, Tao & Cao, Qingjie, 2020. "Dynamics and high-efficiency of a novel multi-stable energy harvesting system," Chaos, Solitons & Fractals, Elsevier, vol. 131(C).
    5. Liu, Di & Xu, Yong & Li, Junlin, 2017. "Probabilistic response analysis of nonlinear vibration energy harvesting system driven by Gaussian colored noise," Chaos, Solitons & Fractals, Elsevier, vol. 104(C), pages 806-812.
    6. Zhao, Xiangrong & Xu, Wei & Gu, Xudong & Yang, Yongge, 2015. "Stochastic stationary responses of a viscoelastic system with impacts under additive Gaussian white noise excitation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 431(C), pages 128-139.
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    1. Deng, Hang & Ye, Jimin & Huang, Dongmei, 2023. "Design and analysis of a galloping energy harvester with V-shape spring structure under Gaussian white noise," Chaos, Solitons & Fractals, Elsevier, vol. 175(P1).

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