TY - JOUR
T1 - Energy harvesting using flexible piezoelectric materials from human walking motion
T2 - Theoretical analysis
AU - Cha, Youngsu
N1 - Funding Information:
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This research was supported by the KIST flagship program (Project No. 2E27200).
Publisher Copyright:
© 2017, © The Author(s) 2017.
PY - 2017/12/1
Y1 - 2017/12/1
N2 - Human walking is a good energy source that can be harvested to support wearable devices. For one walking cycle, the muscles at each joint of human lower body consume tens of watts. The considerable amount of kinetic energy generated while walking can be turned to useful electric energy through energy transducers. In this article, we theoretically investigate energy harvesting from flexible piezoelectric materials attached to humans while walking. We focus on the hip, knee, and ankle motions of walking humans and analyze the frequency characteristic of the motions using Fourier series fitting. A model is utilized to predict the electrical responses from piezoelectric materials and the power harvested through load resistances. In particular, we estimate the harvested power from polyvinylidene fluoride and derive the contour maps with respect to the harvested power as a function of the load resistance and walking frequency. Moreover, we discuss the necessary mechanical power input required to deflect the energy harvester and the effects of the varied parameters.
AB - Human walking is a good energy source that can be harvested to support wearable devices. For one walking cycle, the muscles at each joint of human lower body consume tens of watts. The considerable amount of kinetic energy generated while walking can be turned to useful electric energy through energy transducers. In this article, we theoretically investigate energy harvesting from flexible piezoelectric materials attached to humans while walking. We focus on the hip, knee, and ankle motions of walking humans and analyze the frequency characteristic of the motions using Fourier series fitting. A model is utilized to predict the electrical responses from piezoelectric materials and the power harvested through load resistances. In particular, we estimate the harvested power from polyvinylidene fluoride and derive the contour maps with respect to the harvested power as a function of the load resistance and walking frequency. Moreover, we discuss the necessary mechanical power input required to deflect the energy harvester and the effects of the varied parameters.
KW - Energy harvesting
KW - piezoelectric material
KW - walking motion
UR - http://www.scopus.com/inward/record.url?scp=85038073851&partnerID=8YFLogxK
U2 - 10.1177/1045389X17704917
DO - 10.1177/1045389X17704917
M3 - Article
AN - SCOPUS:85038073851
SN - 1045-389X
VL - 28
SP - 3006
EP - 3015
JO - Journal of Intelligent Material Systems and Structures
JF - Journal of Intelligent Material Systems and Structures
IS - 20
ER -