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Exploiting self-tuning tristable to improve energy capture from shape memory oscillator

  • Wen An Jiang*
  • , Hongfang Han
  • , Li Qun Chen
  • , Qin Sheng Bi
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

This paper explores a tristable energy harvesting with variational frequency by using the shape memory oscillator. The restoring force of the tristable harvester is employed via a polynomial function with variational temperature, which possess the characteristic of tristable. The effect of external temperature on natural frequency of the system is depicted. The dynamic behaviors of four different types of tristable harvesters under external harmonic and Gaussian white noise excitations are analyzed, respectively. The harvesting performances of the proposed program and the linear case are checked, the results demonstrated that tristable can be adopted to increase the steady-state bandwidth. Furthermore, the current and the power variation rules of circuit parameters are discussed.

Original languageEnglish
Article number104469
JournalJournal of Energy Storage
Volume51
DOIs
StatePublished - Jul 2022
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Energy harvesting
  • Self-tuning
  • Shape memory
  • Tristable

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