Magnetically Levitated Autoparametric Broadband Vibration Energy Harvesting

Lukas Kurmann, Yu Jia, Yiannos Manoli, Peter Woias

Research output: Contribution to journalConference article

Abstract

Some of the lingering challenges within the current paradigm of vibration energy harvesting (VEH) involve narrow operational frequency range and the inevitable non-resonant response from broadband noise excitations. Such VEHs are only suitable for limited applications with fixed sinusoidal vibration, and fail to capture a large spectrum of the real world vibration. Various arraying designs, frequency tuning schemes and nonlinear vibratory approaches have only yielded modest enhancements. To fundamentally address this, the paper proposes and explores the potentials in using highly nonlinear magnetic spring force to activate an autoparametric oscillator, in order to realize an inherently broadband resonant system. Analytical and numerical modelling illustrate that high spring nonlinearity derived from magnetic levitation helps to promote the 2:1 internal frequency matching required to activate parametric resonance. At the right internal parameters, the resulting system can intrinsically exhibit semi-resonant response regardless of the bandwidth of the input vibration, including broadband white noise excitation.
Original languageEnglish
Article number012006
JournalJournal of Physics: Conference Series
Volume773
Issue number1
DOIs
Publication statusPublished - 6 Dec 2016

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