Design and fabrication of a nonlinear resonator for ultra wide-bandwidth energy harvesting applications

Hajati, Arman; Bathurst, Stephen; Lee, H.J.; Kim, Sung Hoon

doi:10.1109/memsys.2011.5734672

Cited by 28 publications

(15 citation statements)

References 3 publications

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“…9,10 However, power densities in such designs are reduced due to the increased system volumes of the VEHs. Nonlinear techniques, such as bi-stable systems 11,12 and Duffing oscillation, [13][14][15] can effectively improve the frequency response with a broad bandwidth, but nonlinear vibrations of the harvesters would happen only when the environmental vibration intensity is large enough to induce the stretching force in the VEH's beam. Resonant frequency tuning [16][17][18] also has been investigated, with passive or active tuning by adjusting the preload of VEH's beam.…”

Section: Introductionmentioning

confidence: 99%

Multi-resonant wideband energy harvester based on a folded asymmetric M-shaped cantilever

Mao

et al. 2015

AIP Advances

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Multi-resonant wideband energy harvester based on a folded asymmetric M-shaped cantileverThis article reports a compact wideband piezoelectric vibration energy harvester consisting of three proof masses and an asymmetric M-shaped cantilever. The M-shaped beam comprises a main beam and two folded and dimension varied auxiliary beams interconnected through the proof mass at the end of the main cantilever. Such an arrangement constitutes a three degree-of-freedom vibrating body, which can tune the resonant frequencies of its first three orders close enough to obtain a utility wide bandwidth. The finite element simulation results and the experimental results are well matched. The operation bandwidth comprises three adjacent voltage peaks on account of the frequency interval shortening mechanism. The result shows that the proposed piezoelectric energy harvester could be efficient and adaptive in practical vibration circumstance based on multiple resonant modes. C

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Section: Introductionmentioning

confidence: 99%

Multi-resonant wideband energy harvester based on a folded asymmetric M-shaped cantilever

Mao

et al. 2015

AIP Advances

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“…In fact, sparse energy sources are present in a wide variety of physical phenomena. Among others, acoustic energy, mechanical, vibrational or RF energy [13], [14], [15] are considered representative examples of such sources, when considering a large time scale.…”

Section: A Sparse Energy Sourcesmentioning

confidence: 99%

Area Model and Dimensioning Guidelines of Multisource Energy Harvesting for Nano–Micro Interface

Cid-Fuentes

Cabellos‐Aparicio

Alarcón

2016

IEEE Internet Things J.

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Abstract-Multi-source energy harvesters is a promising, robust alternative to power the future Internet of nano things (IoNT), since the network elements can maintain their operation regardless of the fact that one of its energy sources might be temporarily unavailable. Interestingly, and less explored, when the energy availability of the energy sources present large temporal variations, combining multiple energy sources reduce the overall sparsity. As a result, the performance of a multiple energy harvester powered device is significantly better compared to a single energy source even if they harvest the same amount of energy. In this context, a framework to model and characterize the area for multiple source energy harvesting powered systems is proposed. This framework takes advantage of this improvement in performance to provide the optimal amount of energy harvesters, the requirements of each energy harvester and the required energy buffer capacity, such that the overall area or volume is minimized. On top of these results, self-tunable energy harvesters are explored as a solution and compared to multi-source energy harvesting platforms. As the results show, by conducting a joint design of the energy harvesters and the energy buffer, the overall area or volume of an energy harvesting powered device can be significantly reduced.

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“…In fact, sparse energy sources are present in a wide variety of physical phenomena. Among others, acoustic energy, mechanical, vibrational or RF energy [6], [7], [8] are considered representative examples of such sources, when considering a large time scale.…”

Section: Sparse Energy Sourcesmentioning

confidence: 99%

Circuit area optimization in energy temporal sparse scenarios for multiple harvester powered systems

Cid-Fuentes

Cabellos‐Aparicio

Alarcón

2014

2014 IEEE International Symposium on Circuits and Systems (ISCAS)

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Multi-source energy harvesters are gaining interest as a robust alternative to power wireless sensors, since the sensor node can maintain its operation regardless of the fact that one of its energy sources might be temporarily unavailable. Interestingly, and less explored, when the energy availability of the energy sources present large temporal variations, combining multiple energy sources reduce the overall sparsity. As a result, the performance of a multiple energy harvester powered sensor node is significantly better compared to a single energy source which harvests the same amount of energy. In this context, a circuit area optimization framework for multiple source energy harvesting powered systems is proposed. This framework takes advantage of this improvement in performance to provide the optimal amount of energy harvesters, the requirements of each energy harvester and the required energy buffer capacity, such that the overall area or volume is minimized. As the results show, by conducting a joint design of the energy harvesters and the energy buffer, the overall area or volume of a sensor node can be significantly reduced. © 2014 IEEE.Peer ReviewedPostprint (published version

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Design and fabrication of a nonlinear resonator for ultra wide-bandwidth energy harvesting applications

Cited by 28 publications

References 3 publications

Multi-resonant wideband energy harvester based on a folded asymmetric M-shaped cantilever

Multi-resonant wideband energy harvester based on a folded asymmetric M-shaped cantilever

Area Model and Dimensioning Guidelines of Multisource Energy Harvesting for Nano–Micro Interface

Circuit area optimization in energy temporal sparse scenarios for multiple harvester powered systems

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