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Analytical Modeling and Validation of a Preloaded Piezoceramic Current Output.
Zhang, Bin; Liu, Hongsheng; Li, Dezhi; Liang, Jinhui; Gao, Jun.
Afiliação
  • Zhang B; School of Mechanical, Electrical and Information Engineering, Shandong University, Weihai 204209, China.
  • Liu H; School of Mechanical, Electrical and Information Engineering, Shandong University, Weihai 204209, China.
  • Li D; Department of Engineering Mechanics, Zhejiang University, Hangzhou 310027, China.
  • Liang J; School of Mechanical, Electrical and Information Engineering, Shandong University, Weihai 204209, China.
  • Gao J; School of Mechanical, Electrical and Information Engineering, Shandong University, Weihai 204209, China.
Micromachines (Basel) ; 12(4)2021 Mar 25.
Article em En | MEDLINE | ID: mdl-33806129
ABSTRACT
Energy harvesting using piezoceramic has drawn a lot of attention in recent years. Its potential usage in microelectromechanical systems is starting to become a reality thanks to the development of an integrated circuit. An accurate equivalent circuit of piezoceramic is important in energy harvesting and the sensing system. A piezoceramic is always considered to be a current source according to empirical testing, instead of the derivation from its piezoelectric characteristics, which lacks accuracy under complicated mechanical excitation situations. In this study, a new current output model is developed to accurately estimate its value under various kinds of stimulation. Considering the frequency, amplitude and preload variation imposed on a piezoceramic, the multivariate model parameters are obtained in relation to piezo coefficients. Using this model, the current output could be easily calculated without experimental testing in order to quickly estimate the output power in energy harvesting whatever its geometric shape and the various excitations.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Micromachines (Basel) Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Micromachines (Basel) Ano de publicação: 2021 Tipo de documento: Article