Springer Energy Harvesting for Wearable Sensor Systems: Inductive Architectures for the Swing Excitation of the Leg: 62 (Springer Series in Advanced Microelectronics, 62)

This book investigates several non-resonant inductive harvester architectures in order to find the magnet coil arrangement that generates the largest power output. The book is useful as a step-by-step guide for readers unfamiliar with this form of energy harvesting, but who want to build their own system models to calculate the magnet motion and, from that, the power generation available for body-worn sensor systems. The detailed description of system model development will greatly facilitate experimental work with the aim of fabricating the design with the highest predicted power output.  Based on the simulated optimal geometry, fabricated devices achieve an average power output of up to 43 mW during walking, an amount of power that can supply modern low-power, body-worn systems. Experiments were also carried out in industrial applications with power outputs up to 15 mW. In sum, researchers and engineers will find a step-by-step introduction to inductive harvesting and its modeling aspects for achieving optimal harvester designs in an efficient manner.   From the Back Cover This book investigates several non-resonant inductive harvester architectures in order to find the magnet coil arrangement that generates the largest power output. The book is useful as a step-by-step guide for readers unfamiliar with this form of energy harvesting, but who want to build their own system models to calculate the magnet motion and, from that, the power generation available for body-worn sensor systems. The detailed description of system model development will greatly facilitate experimental work with the aim of fabricating the design with the highest predicted power output.  Based on the simulated optimal geometry, fabricated devices achieve an average power output of up to 43 mW during walking, an amount of power that can supply modern low-power, body-worn systems. Experiments were also carried out in industrial applications with power outputs up to 15 mW. In sum, researchers and engineers will find a step-by-step introduction to inductive harvesting and its modeling aspects for achieving optimal harvester designs in an efficient manner.   About the Author Klevis Ylli studied electrical engineering at the Karlsruhe Institute of Technology in Germany and received his B.Sc. degree in 2010. He then studied MicroElectroMechanical Systems (MEMS) at the University of Southampton in the UK and received his M.Sc. degree in 2011. After his Master studies he worked at the “Hahn-Schickard-Institut für Mikro- und Informationstechnik” in Villingen-Schwenningen, Germany where he focused on system modelling and development of inductive energy harvesting devices, in particular for energy harvesting from human motion. His scientific paper “Energy harvesting from human motion: exploiting swing and shock excitations” received the most cited paper award of the journal Smart Materials and Structures in 2015 and is featured in the journal’s 25th anniversary highlights collection. During that period he also pursued his PhD on the topic of human motion energy harvesting at the University of Freiburg in Germany, which he completed in early 2019. He currently works at Endress+Hauser in Maulburg, Germany, as a project manager in industrial sensor development projects.Prof. Dr.-Ing. Yiannos Manoli, University of Freiburg and Hahn-Schickard Yiannos Manoli was born in Famagusta, Cyprus, in 1954. He received the B.A. degree (summa cum laude) in physics and mathematics from Lawrence University in Appleton, WI, USA, in 1978, the M.S. degree in electrical engineering and computer science from the University of California, Berkeley, CA, USA, in 1980, both on a Fulbright scholarship, and the Dr.‑Ing. degree in electrical engineering from the Gerhard Mercator University, Duisburg, Germany, in 1987. From 1980 to 1984, he was a Research Assistant at the University of Dortmund, Dortmund, Germany, in the field of A/D