| Issue |
MATEC Web of Conferences
Volume 40, 2016
2015 International Conference on Mechanical Engineering and Electrical Systems (ICMES 2015)
|
|
|---|---|---|
| Article Number | 07005 | |
| Number of page(s) | 5 | |
| Section | Power electronics engineering | |
| DOI | https://doi.org/10.1051/matecconf/20164007005 | |
| Published online | 29 January 2016 | |
Research on Efficiency of Contactless Charging System based on Electromagnetic Induction
State Grid Beijing Electric Power Research Institute, Fengtai District, Beijing, 100075, China
For the efficiency problem of contactless charging in type of electromagnetic induction, this paper establishes a mathematical model of contactless charging in type of electromagnetic induction and the theoretical derivation. This contactless charging simulation model is founded by Matlab/Simulink, which uses the frequency of PWM generator, the mutual inductance value of the coil and load resistance of RL to simulate some conditions, such as the working frequency in practical work, the distance of coil, whether the coils are directed at the central, and changing of loads. Then through the influence of the changing frequency, load and mutual inductance, contactless charging in type of electromagnetic induction is analyzed. By the whole simulation experiment on contactless charging, the theory deduced from the mathematical model is verified, and the method to improve inductive contactless charging is proved.
© Owned by the authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.