Effect of Electromagnetic Damping on the Optimum Load Resistance of an Electromagnetic Vibration Energy Harvester

Faruq Muhammad Foong, Chung Ket Thein, Abdul Rashid Abdul Aziz

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

5 Citations (Scopus)

Abstract

This paper studies the effect of electromagnetic damping ratio on the optimum load resistance of an electromagnetic vibration energy harvester. A mathematical model describing the power output of the harvester was derived and analyzed. It was found that for cases where the electromagnetic damping is much lower than the mechanical damping of the harvester, the optimum load resistance value is equal to the coil resistance value. However, if the electromagnetic damping is high, then the optimum load resistance does not equal to coil resistance. In addition, this optimum value is not necessarily obtained when the electromagnetic damping is equal to the mechanical damping. For this case, the optimum value will depend on the mechanical damping ratio, electromagnetic damping ratio, coil resistance and load resistance. A good correlation was observed between the mathematical model and experimental measurements.

Original languageEnglish
Title of host publication2nd International Conference on Smart Grid and Smart Cities, ICSGSC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages127-132
Number of pages6
ISBN (Electronic)9781538681022
DOIs
Publication statusPublished - 20 Nov 2018
Externally publishedYes
Event2nd International Conference on Smart Grid and Smart Cities, ICSGSC 2018 - Kuala Lumpur, Malaysia
Duration: 12 Aug 201814 Aug 2018

Publication series

Name2nd International Conference on Smart Grid and Smart Cities, ICSGSC 2018

Conference

Conference2nd International Conference on Smart Grid and Smart Cities, ICSGSC 2018
Country/TerritoryMalaysia
CityKuala Lumpur
Period12/08/1814/08/18

Keywords

  • electromagnetic damping ratio
  • load resistance
  • power
  • vibration energy harvester

ASJC Scopus subject areas

  • Artificial Intelligence
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Waste Management and Disposal
  • Water Science and Technology

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