Optimized 2D positioning of windings in inductive components by genetic algorithm
| Autor: | Andreas Rosskopf, Eberhard Baer, Karsten Knoerzer, Stefan Ehrlich |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
010302 applied physics
Coupling Computer science 020208 electrical & electronic engineering 02 engineering and technology Topology 01 natural sciences Finite element method Position (vector) Electromagnetic coil Component (UML) 0103 physical sciences Genetic algorithm 0202 electrical engineering electronic engineering information engineering Maximum power transfer theorem Engineering design process |
| Zdroj: | 2018 19th International Conference on Thermal, Mechanical and Multi-Physics Simulation and Experiments in Microelectronics and Microsystems (EuroSimE). |
| DOI: | 10.1109/eurosime.2018.8369881 |
| Popis: | 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 pareto optimum for the balance of the both dominating loss shares in inductive components. |
| Databáze: | OpenAIRE |
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