2017
DOI: 10.1515/ehs-2016-0021
|View full text |Cite
|
Sign up to set email alerts
|

Characterization of Real-world Vibration Sources and Application to Nonlinear Vibration Energy Harvesters

Abstract: A tremendous amount of research has been performed on the design and analysis of vibration energy harvester architectures with the goal of optimizing power output. Often, little attention is given to the actual characteristics of common vibrations from which energy is harvested. In order to shed light on the characteristics of common ambient vibration, data representing 333 vibration signals were downloaded from the NiPS Laboratory “Real Vibration” database, processed, and categorized according to the source o… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
14
0

Year Published

2017
2017
2024
2024

Publication Types

Select...
8

Relationship

0
8

Authors

Journals

citations
Cited by 17 publications
(15 citation statements)
references
References 14 publications
0
14
0
Order By: Relevance
“…The damping in the energy harvester is modeled by two dampers. First, a mechanical damping factor (b m ) representing mechanical parasitic losses in the system such as air resistance, structural losses, internal friction losses, hysteresis losses, etc., [37,43,44] and a second electromechanical damping, resulting in the usefull conversion of energy (b e ) in the energy harvester, with the total damping factor [45][46][47] b = b m + b e . The harvester quality factor Q determines the spectral width of the energy harvester and is calculated as follows:…”
Section: Modelmentioning
confidence: 99%
See 1 more Smart Citation
“…The damping in the energy harvester is modeled by two dampers. First, a mechanical damping factor (b m ) representing mechanical parasitic losses in the system such as air resistance, structural losses, internal friction losses, hysteresis losses, etc., [37,43,44] and a second electromechanical damping, resulting in the usefull conversion of energy (b e ) in the energy harvester, with the total damping factor [45][46][47] b = b m + b e . The harvester quality factor Q determines the spectral width of the energy harvester and is calculated as follows:…”
Section: Modelmentioning
confidence: 99%
“…The 33 collected datasets are first evaluated with the standard parameters for the energy harvester from Section 4.1, based on the research from [38,45] The resonance frequency ( f r = 2.08 Hz) is not matched with the most dominant motions in the dataset. Therefore, it will only be possible to give a general insight on the order of the harvested power, not on the maximal achievable power after tuning.…”
Section: Energy Availabilitymentioning
confidence: 99%
“…This study focuses on piezoelectric vibration energy harvesting (PVEH). Important objectives of PVEH studies are to design a method that can output voltage efficiently from disturbances at identical scales [ 19 ] and a method that achieves effective harvesting under the vibration in real environments such as aerodynamic excited vibrations [ 20 , 21 ]. Introducing switch elements to a harvesting circuit and actively switching the circuit connections can improve the harvesting performance [ 22 ].…”
Section: Introductionmentioning
confidence: 99%
“…However, most of the works have been done with the assumption that the input excitations are sinusoidal, colored noise, or Gaussian white noise [ 20 , 21 , 22 ]. Only a limited number of studies have focused on the harvester performance under real-world ambient vibrations [ 23 , 24 , 25 ]. Beeby et al [ 23 ] presented the comparison of output power from linear and nonlinear harvesters under vibration data taken from measurements of a diesel ferry engine, heat and power pump, car engine, and white noise vibration.…”
Section: Introductionmentioning
confidence: 99%
“…It was concluded in their paper that the potential benefits of nonlinear energy harvester solutions are sensitive to the nature of ambient vibration sources. Rantz and Roundy [ 25 ] considered a broad range of real vibrations and provided a comparative analysis of the theoretical maximum output power that linear and nonlinear harvester architectures can reach under these inputs. These optimal values may not be obtained in the real devices with design restrictions.…”
Section: Introductionmentioning
confidence: 99%