A Self-adaptive and Self-Sufficient Energy Harvesting System.

electromagnetic frequency measurement microgenerator self-adaptive self-sufficient vibration energy harvesting

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
29 Apr 2020
Historique:
received: 18 03 2020
revised: 15 04 2020
accepted: 28 04 2020
entrez: 6 5 2020
pubmed: 6 5 2020
medline: 6 5 2020
Statut: epublish

Résumé

Self-adaptive vibration energy harvesters convert the kinetic energy from vibration sources into electrical energy and continuously adapt their resonance frequency to the vibration frequency. Only when the two frequencies match can the system harvest energy efficiently. The harvesting of vibration sources with a time-variant frequency therefore requires self-adaptive vibration harvesting systems without human intervention. This work presents a self-adaptive energy harvesting system that works completely self-sufficiently. Using magnetic forces, the axial load on a bending beam is changed and thus the resonance frequency is set. The system achieves a relative tuning range of 23% at a center frequency of 36.4 Hz. Within this range, the resonance frequency of the harvester can be set continuously and precisely. With a novel optimized method for frequency measurement and with customized electronics, the system only needs 22 µW to monitor the external vibration frequency and is therefore also suitable for environments with low vibration amplitudes. The system was verified on a vibrational test bench and can easily be tailored to a specific vibration source.

Identifiants

pubmed: 32365593
pii: s20092519
doi: 10.3390/s20092519
pmc: PMC7248692
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

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Auteurs

Mario Mösch (M)

Chair of Measurement and Control Systems, Center of Energy Technology (ZET), Universität Bayreuth, Universitätsstraße 30, D-95447 Bayreuth, Germany.

Gerhard Fischerauer (G)

Chair of Measurement and Control Systems, Center of Energy Technology (ZET), Universität Bayreuth, Universitätsstraße 30, D-95447 Bayreuth, Germany.

Daniel Hoffmann (D)

Hahn-Schickard, Wilhelm-Schickard-Str.10, D-78052 Villingen-Schwenningen, Germany.

Classifications MeSH