Open AccessPower stabilisation scheme design using spatial rotating coil based on magnetic field aggregation
Author(s) -
Tan Linlin,
Zhong Ruying,
Tang Zongyao,
Meng Tao,
Huang Xueliang
Publication year - 2020
Publication title -
iet power electronics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.637
H-Index - 77
eISSN - 1755-4543
pISSN - 1755-4535
DOI - 10.1049/iet-pel.2020.0082
Subject(s) - electromagnetic coil , scheme (mathematics) , power (physics) , field (mathematics) , computer science , magnetic field , electrical engineering , engineering , physics , mathematics , mathematical analysis , quantum mechanics , pure mathematics
The power fluctuation problem has been a key issue in dynamic wireless power transfer (WPT) systems. In the past research studies, the power fluctuation problem at low‐transmission distance has been solved, but existing solutions often involve complex control strategies and cannot realise power stabilisation for dynamic WPT systems under high‐transmission distance. As a remedy, the spatial rotating coil design scheme is proposed based on magnetic field aggregation to solve the power fluctuation problem without control strategy for high distance dynamic WPT system. Firstly, the crucial parameters affecting power fluctuations are analysed. Then the relative optimisation backgrounds are introduced. Afterwards, the mechanism of power sag is analysed based on magnetic field analysis. Subsequently, the spatial rotating double D (DD) coil design is proposed inspired by omnidirectional WPT coil, and various different DD coil schemes are optimised utilising magnetic field aggregation method to acquire the optimal scheme. Compared with the original coil scheme, the proposed design scheme improves fluctuation of system mutual inductance without complicated control strategies according to simulation results. Finally, a physical coil system consistent with the simulation system is constructed, which verifies the improvement effect of the proposed scheme and effectively confirm feasibility of the optimal scheme.