Electromechanical modeling and power performance analysis of a piezoelectric energy harvester having an attached mass and a segmented piezoelectric layer
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Jeong, Sinwoo | - |
dc.contributor.author | Cho, Jae Yong | - |
dc.contributor.author | Sung, Tae Hyun | - |
dc.contributor.author | Yoo, Hong Hee | - |
dc.date.accessioned | 2021-08-02T15:51:25Z | - |
dc.date.available | 2021-08-02T15:51:25Z | - |
dc.date.created | 2021-05-12 | - |
dc.date.issued | 2017-02 | - |
dc.identifier.issn | 0964-1726 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/21205 | - |
dc.description.abstract | Conventional vibration-based piezoelectric energy harvesters (PEHs) have advantages including the ubiquity of their energy source and their ease of manufacturing. However, they have a critical disadvantage as well: they can produce a reasonable amount of power only if the excitation frequency is concentrated near a natural frequency of the PEH. Because the excitation frequency is often spread and/ or variable, it is very difficult to successfully design a conventional PEH. In this paper, we propose a new cantilevered PEH whose design includes an attached mass and a segmented piezoelectric layer. By choosing a proper size and location for the attached mass, the gap between the first and second natural frequencies of the PEH can be decreased in order to broaden the effective excitation frequency range and thus to allow reasonable power generation. Especially, the output power performance improves significantly around the second natural frequency of the PEH since the voltage cancellation effect can be made very weak by segmenting the piezoelectric layer at an appropriate location. To investigate the power performance of the new PEH, herein a reduced-order electromechanical analysis model is proposed and the accuracy of this model is validated experimentally. The effects of variable load resistance and piezoelectric layer segmentation location upon the power performance of the new PEH are investigated by means of the reduced-order analysis model. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | IOP PUBLISHING LTD | - |
dc.title | Electromechanical modeling and power performance analysis of a piezoelectric energy harvester having an attached mass and a segmented piezoelectric layer | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Yoo, Hong Hee | - |
dc.identifier.doi | 10.1088/1361-665X/aa550b | - |
dc.identifier.scopusid | 2-s2.0-85014748497 | - |
dc.identifier.wosid | 000399563200007 | - |
dc.identifier.bibliographicCitation | SMART MATERIALS AND STRUCTURES, v.26, no.3 | - |
dc.relation.isPartOf | SMART MATERIALS AND STRUCTURES | - |
dc.citation.title | SMART MATERIALS AND STRUCTURES | - |
dc.citation.volume | 26 | - |
dc.citation.number | 3 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Instruments & Instrumentation | - |
dc.relation.journalResearchArea | Materials Science | - |
dc.relation.journalWebOfScienceCategory | Instruments & Instrumentation | - |
dc.relation.journalWebOfScienceCategory | Materials Science, Multidisciplinary | - |
dc.subject.keywordAuthor | piezoelectric energy harvester | - |
dc.subject.keywordAuthor | electromechanical modeling | - |
dc.subject.keywordAuthor | segmented piezoelectric layer | - |
dc.subject.keywordAuthor | reduced-order analysis model | - |
dc.subject.keywordAuthor | power performance | - |
dc.identifier.url | https://iopscience.iop.org/article/10.1088/1361-665X/aa550b | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
222, Wangsimni-ro, Seongdong-gu, Seoul, 04763, Korea+82-2-2220-1365
COPYRIGHT © 2021 HANYANG UNIVERSITY.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.