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  4. Autonomous circuit design of a resonant converter (LLC) for on-board chargers using genetic algorithms
 
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2018
Conference Paper
Titel

Autonomous circuit design of a resonant converter (LLC) for on-board chargers using genetic algorithms

Abstract
In the field of conductive and inductive charging systems, contrary requirements such as high power density, small installation space, low power losses and costs need to be optimized for multiple operation points taking into account customer defined power transfer profiles. In this paper the engineering experience for safe and practical operation modes (complete zero voltage switching, inductive operation region, etc.) is transferred into the mathematical domain of multiple constraints and objectives. Based on that, a new cascading penalty strategy is combined with a genetic algorithm (GA) to process the circuit design of a resonant converter (LLC) for on-board chargers autonomously. Within this self-learning design process the power losses on the primary and secondary side of the resonant converter are minimized for multiple operation points. The optimization setup reliably reaches feasible solution candidates for this highly non-linear problem and even enables the prediction of technological limits. Due to the general purpose of the method, this autonomous design process can be adapted to other circuit topologies and applications.
Author(s)
Rosskopf, A.
Volmering, S.
Ditze, S.
Joffe, C.
Bär, E.
Hauptwerk
IEEE Transportation and Electrification Conference and Expo, ITEC 2018
Konferenz
Transportation Electrification Conference and Expo (ITEC) 2018
Thumbnail Image
DOI
10.1109/ITEC.2018.8450100
Language
English
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Fraunhofer-Institut für Integrierte Systeme und Bauelementetechnologie IISB
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