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Optimized 2D positioning of windings in inductive components by genetic algorithm

 
: Rosskopf, Andreas; Knoerzer, Karsten; Baer, Eberhard; Ehrlich, Stefan

:

Driel, W.D. van (Ed.) ; Institute of Electrical and Electronics Engineers -IEEE-:
19th International Conference on Thermal, Mechanical and Multi-Physics Simulation and Experiments in Microelectronics and Microsystems, EuroSimE 2018 : 15-18 April 2018, Toulouse, France
Piscataway, NJ: IEEE, 2018
ISBN: 978-1-5386-2358-9
ISBN: 978-1-5386-2359-6
ISBN: 978-1-5386-2360-2
S.144-149
International Conference on Thermal, Mechanical and Multi-Physics Simulation and Experiments in Microelectronics and Microsystems (EuroSimE) <19, 2018, Toulouse>
Englisch
Konferenzbeitrag
Fraunhofer IISB ()
inductive component; core loss; winding loss; optimization; genetic algorithm

Abstract
In the design process of inductive power transfer systems the shape of the inductive component is essential for the operation point, the losses and thus the efficiency. Based on a new placement approach, the amount and position of the windings within the inductive component is defined by a parameter set. With the help of a genetic algorithm these parameters are modified and iteratively optimized with regard to the core and winding losses, calculated by a coupling workflow combining FEM and circuit simulations. The results demonstrate a large variety of geometric winding designs and yield a pare to optimum for the balance of the both dominating loss shares in inductive components.

: http://publica.fraunhofer.de/dokumente/N-519934.html