Dynamics of a coupled nonlinear energy harvester under colored noise and periodic excitations

Yanxia Zhang, Yanfei Jin*, Pengfei Xu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

44 Citations (Scopus)

Abstract

Vibration energy harvester (VEH) has proven to be a favorable potential technique to supply continuous energy from ambient vibrations and its performance is greatly influenced by the design of potential structures. Motivated by the enhancement of energy harvesting performance, an electromechanical coupled VEH under colored noise and periodic excitations is investigated theoretically and numerically, and comparisons of the effects of mono-, bi- and tri-stable potentials are analyzed in detail. An uncoupled equivalent system, together with its joint probability density function (PDF), are derived by using the generalized harmonic transformation and the stochastic averaging based on energy-dependent frequency. For three kinds of different potentials, the effects of the periodic excitation, colored noise, potential shape and other crucial system parameters are explored on the dynamical behaviors. Results show that tri-stable VEH outperforms the mono- and bi-stable VEHs in mean harvested power and can achieve better stochastic resonance (SR) effect and higher power conversion efficiency by choosing the optimal system parameters, such as noise intensity, electromechanical coupling coefficient and time constant ratio. Moreover, the periodic excitation can change the topological characteristic of transient PDF, and larger periodic force can enhance SR effect but will weaken the power conversion efficiency. The theoretical results obtained by the proposed stochastic averaging method are well validated by numerical simulations.

Original languageEnglish
Article number105418
JournalInternational Journal of Mechanical Sciences
Volume172
DOIs
Publication statusPublished - 15 Apr 2020

Keywords

  • Colored noise
  • Coupled nonlinear VEH
  • Periodic excitation
  • Stochastic averaging
  • Stochastic resonance

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