교육

세미나

지속가능한 IoT를 위한 자율전원 기술

날짜
2022-11-08 16:00:00
학과
기계공학과
장소
Online(Zoom)
연사
윤헌준 교수(숭실대)

Energy harvesting technology, which generates the output electric power from ambient, otherwise wasted, energy sources, has been explored

toward providing a solution that could ultimately eliminate the replacement cost of the chemical batteries found in wireless sensor nodes.

Piezoelectric vibration energy harvesting (PVEH) is recognized as a promising solution for converting vibration energy into usable electricity,

because it has high energy density and can be easily miniaturized for use in wireless sensor nodes.

Now, a question of fundamental importance arises how to preliminary estimate the output electric power generated by a PVEH device

under a given vibration condition and identify the key design parameters to carry out the enhanced output performances.

It is thus strongly required to build a highly-predictive model to elucidate the electroelastic behaviors of a PVEH device in an explicit manner.

This paper provides deterministic, stochastic, probabilistic modeling approaches for the analysis of PVEH.