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• W1729886305 abstract "Narrow bandwidth and easy detuning, inefficiency in broadband and non-stationary excitations, and difficulties in matching linear harvester's resonance frequency to low-frequency excitations at small scales, have convinced the researchers to investigate the nonlinear, in particular the bistable energy harvesters in the recent years. However, the bistable harvesters suffer from co-existing low and high energy orbits, and sensitivity to initial conditions, and have been recently proven inefficient when subjected to many real-world random and non-stationary excitations. Here, we propose a novel buy-low-sell-high strategy that can significantly improve the harvester's efficiency at low-frequencies in a much more robust fashion. This strategy could be realized by a passive adaptive bistable system. Simulation results confirm high efficiency of the adaptive bistable system following a buy-low-sell-high logic when subjected to harmonic and random non-stationary walking excitations compared to its conventional bistable and linear counterparts." @default.
• W1729886305 created "2016-06-24" @default.
• W1729886305 creator A5069161114 @default.
• W1729886305 creator A5085490631 @default.
• W1729886305 date "2015-11-23" @default.
• W1729886305 modified "2023-09-28" @default.
• W1729886305 title "Non-resonant energy harvesting via an adaptive bistable potential" @default.
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• W1729886305 doi "https://doi.org/10.1088/0964-1726/25/1/015010" @default.
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