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A Theory for Energy-Optimized Operation of Self-Adaptive Vibration Energy Harvesting Systems with Passive Frequency Adjustment

DOI zum Zitieren der Version auf EPub Bayreuth: https://doi.org/10.15495/EPub_UBT_00004638
URN to cite this document: urn:nbn:de:bvb:703-epub-4638-4

Title data

Mösch, Mario ; Fischerauer, Gerhard:
A Theory for Energy-Optimized Operation of Self-Adaptive Vibration Energy Harvesting Systems with Passive Frequency Adjustment.
In: Micromachines. Vol. 10 (January 2019) Issue 1 . - 18 S..
ISSN 2072-666X
DOI der Verlagsversion: https://doi.org/10.3390/mi10010044

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Abstract

Self-adaptive vibration energy harvesting systems vary their resonance frequency automatically to better exploit changing environmental conditions. The energy required for the adjustment is taken from the energy storage of the harvester module. The energy gained by an adjustment step has to exceed the energy expended on it to justify the adjustment. A smart self-adaptive system takes this into account and operates in a manner that maximizes the energy output. This paper presents a theory for the optimal operation of a vibration energy harvester with a passive resonance-frequency adjustment mechanism (one that only requires energy for the adjustment steps proper, but not during the hold phases between the steps). Several vibration scenarios are considered to derive a general guideline. It is shown that there exist conditions under which a narrowing of the adjustment bandwidth improves the system characteristics. The theory is applied to a self-adaptive energy harvesting system based on electromagnetic transduction with narrowband resonators. It is demonstrated that the novel optimum mode of operation increases the energy output by a factor of 3.6.

Further data

Item Type: Article in a journal
Keywords: Vibration energy harvesting; frequency tuning; electromagnetic; microgenerator; self-adaptive
DDC Subjects: 600 Technology, medicine, applied sciences > 620 Engineering
Institutions of the University: Faculties
Faculties > Faculty of Engineering Science
Faculties > Faculty of Engineering Science > Chair Measurement and Control Technology
Faculties > Faculty of Engineering Science > Chair Measurement and Control Technology > Chair Measurement and Control Technology - Univ.-Prof. Dr.-Ing. Gerhard Fischerauer
Profile Fields
Profile Fields > Emerging Fields
Profile Fields > Emerging Fields > Energy Research and Energy Technology
Research Institutions
Research Institutions > Research Units
Research Institutions > Research Units > ZET - Zentrum für Energietechnik
Graduate Schools > TAO-Graduiertenkolleg Energieautarke Gebäude
Graduate Schools
Language: English
Originates at UBT: Yes
URN: urn:nbn:de:bvb:703-epub-4638-4
Date Deposited: 27 Mar 2020 11:57
Last Modified: 27 Mar 2020 11:57
URI: https://epub.uni-bayreuth.de/id/eprint/4638

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