Magnetic-Mechano-Electric Energy Harvesting for Self-powered Autonomous IoT Sensors-BEIHANG UNIVERSITY
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Magnetic-Mechano-Electric Energy Harvesting for Self-powered Autonomous IoT Sensors

Release time:July 24, 2018

Topic:Magnetic-Mechano-Electric Energy Harvesting for Self-powered Autonomous IoT Sensors

Speaker: DaeYong Jeong, Inha University

Date:July 27, at 10:00-12:00 AM

Venue:B707, New Main Building


Energy harvesting is the energy transduction from wasted energy to useful electrical energy enough to operate the small devices such as sensors. In modern society, electrical power lines are installed like a spider web and magnetic field noise is somehow ubiquitous. From the energy source point of view, though magnetic field noise has small intensity, as it has the fixed frequency of 50 or 60 Hz and a certain intensity, the harvester structure could be systematically optimized.

To convert the magnetic energy to electrical energy, we utilized the magneto-mechano-electrical conversion using the magnetostrictive material (magnetic energy to mechanical energy) and piezoelectric material (mechanical energy to electrical energy). In this presentation, our various efforts to maximize the conversion efficiency will be introduced. Issues on magnetostrictive materials, piezoelectric materials, and coupling between magnetostrictive material and piezoelectric material will be discussed.

Biography of the Speaker:

DaeYong Jeong is a professor in the Department of Materials Science & Engineering at Inha University, Korea. He received the B.S. and M.S. degrees from Seoul National University in 1994 and 1996 respectively, and the PhD degree from Pennsylvania State University in 2004. He worked for the TRS in USA and Tohoku University in Japan as a postdoc researcher. He was a senior scientist in Korea Institute of Science and Technology (KIST) before moving to Myongji University in Korea. His research is focusing on ferroelectric materials and aero-sol deposition process. For the researches on ferroelectrics, his group is working on nano-grained ferroelectric to explore the fundamental phenomena from nano-size effects. In addition, for device applications, he is studying on energy harvesting using ferroelectric single crystals, high energy density capacitor, electrocaloric devices, and sensor & actuator.


Beijing Advanced Innovation Center for Big Data-Based Precision Medicine