Stochastic Hopf bifurcation and random chaos of a multi-stable rotational energy harvesting system
Sengen Hu and
Liangqiang Zhou
Chaos, Solitons & Fractals, 2025, vol. 199, issue P3
Abstract:
This study examines stochastic Hopf bifurcation and random chaos in a multi-stable rotational vibration energy harvester (VEH) for automotive tire applications. The system is modeled as a strongly nonlinear Duffing-van der Pol (DVP) oscillator subject to forced and stochastic Gaussian white noise excitations. Analytical methods, including incomplete elliptic integrals, are used to derive exact solutions for eight possible homoclinic and heteroclinic orbits. Stochastic averaging and three-exponential techniques are employed to analyze Hopf bifurcation, identifying D- and P-bifurcation points and stationary probability density functions (PDFs). The stochastic Melnikov method is applied to derive chaos thresholds for six types of orbital entanglement and establish parameter criteria for four distinct chaos types. Numerical simulations validate the analytical results, demonstrating noise-induced transitions between multiple attractors and intermittent chaotic behavior. The findings provide insights for optimizing VEH performance through controlled chaotic dynamics.
Keywords: VEH; DVP oscillator; Orbits dynamics; Stochastic hopf bifurcation; Random chaos (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S096007792500863X
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:199:y:2025:i:p3:s096007792500863x
DOI: 10.1016/j.chaos.2025.116850
Access Statistics for this article
Chaos, Solitons & Fractals is currently edited by Stefano Boccaletti and Stelios Bekiros
More articles in Chaos, Solitons & Fractals from Elsevier
Bibliographic data for series maintained by Thayer, Thomas R. ().