Proceedings of the 2015 International Conference on Mechanical Science and Engineering

Efficiency Optimal of Inductive Power Transfer System using the Genetic Algorithms

Authors
Jikun Zhou, Rong Zhang, Yi Zhang
Corresponding Author
Jikun Zhou
Available Online March 2016.
DOI
10.2991/mse-15.2016.1How to use a DOI?
Keywords
IPT system, efficiency optimal, genetic algorithms
Abstract

The Inductive power transfer (IPT) systems' efficiency is determined by kinds of parameters. Aim at maximum the power transfer efficiency for Inductive power transfer (IPT) system, the efficiency of four basic topology IPT systems is analyzed. Based on the analysis, genetic algorithms (GA) are used to optimize IPT systems parameters to achieve the maximum of the power transfer efficiency. Before the GA optimization process, the IPT systems are compensated in a resonance condition which can achieve to minimize VA rating of the power supply and maximum power transfer. In the process of GA optimization, to ensure the final solutions achieving bifurcation-free operation, the solutions that generate bifurcation phenomenon (multi zero phase angle frequency) are excluded. The simulation results verify that the GA can find the best optimal solutions for all topology IPT systems.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2015 International Conference on Mechanical Science and Engineering
Series
Advances in Engineering Research
Publication Date
March 2016
ISBN
978-94-6252-172-8
ISSN
2352-5401
DOI
10.2991/mse-15.2016.1How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Jikun Zhou
AU  - Rong Zhang
AU  - Yi Zhang
PY  - 2016/03
DA  - 2016/03
TI  - Efficiency Optimal of Inductive Power Transfer System using the Genetic Algorithms
BT  - Proceedings of the 2015 International Conference on Mechanical Science and Engineering
PB  - Atlantis Press
SP  - 1
EP  - 6
SN  - 2352-5401
UR  - https://doi.org/10.2991/mse-15.2016.1
DO  - 10.2991/mse-15.2016.1
ID  - Zhou2016/03
ER  -