title: A novel high-density power energy harvesting methodology for transmission line online monitoring devices.
abstract: This paper presents a novel energy-harvesting model which takes the primary current, secondary turns, dimension, the magnitude of magnetic flux density B, and the core loss resistance into consideration systematically. The relationship among the potential maximum output power, the dimension of energy harvesting coil (EHC), the load type of EHC, and the secondary turns is predicted by theoretical analysis and further verified by experiments. A high power density harvester is also developed and tested. It is shown that the power density of this novel harvester is 0.7 mW/g at 10 A, which is more than 2 times powerful than the traditional ones. Hence, it could lighten the half weight of the harvester at the same conditions.
authors.affiliation: School of Electronic Information and Electrical Engineering, Shanghai JiaoTong University, Shanghai, China.
authors.forename: Yadong
authors.initials: Y
authors.lastname: Liu
authors.affiliation: School of Electronic Information and Electrical Engineering, Shanghai JiaoTong University, Shanghai, China.
authors.forename: Xiaolei
authors.initials: X
authors.lastname: Xie
authors.affiliation: School of Electronic Information and Electrical Engineering, Shanghai JiaoTong University, Shanghai, China.
authors.forename: Yue
authors.initials: Y
authors.lastname: Hu
authors.affiliation: School of Electronic Information and Electrical Engineering, Shanghai JiaoTong University, Shanghai, China.
authors.forename: Yong
authors.initials: Y
authors.lastname: Qian
authors.affiliation: School of Electronic Information and Electrical Engineering, Shanghai JiaoTong University, Shanghai, China.
authors.forename: Gehao
authors.initials: G
authors.lastname: Sheng
authors.affiliation: School of Electronic Information and Electrical Engineering, Shanghai JiaoTong University, Shanghai, China.
authors.forename: Xiuchen
authors.initials: X
authors.lastname: Jiang
authors.affiliation: Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, Tennessee 37996, USA.
authors.forename: Yilu
authors.initials: Y
authors.lastname: Liu