Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/28726
Title: Finite Element Methods for Multi-objective optimization of a High Step-up Interleaved Boost Converter
Authors: MARTINEZ, Wilmar 
Cortes, Camilo
Bilal, Ahmad
Kyyra, Jorma
Issue Date: 2018
Publisher: IEEE
Source: 2018 INTERNATIONAL POWER ELECTRONICS CONFERENCE (IPEC-NIIGATA 2018 -ECCE ASIA), IEEE,p. 2193-2198
Series/Report: International Conference on Power Electronics
Abstract: High step-up converters have been widely used in renewable energy systems and, recently, in automotive applications, due to their high voltage gain capability. Moreover, in these applications, efficiency and high-power density are usually required, although these characteristics are commonly opposite objectives. Therefore, a multi-objective optimization is quite useful in order to comply with both requirements of high efficiency and small size. In that sense, Finite Element Methods can be effective to complement optimization methods. This paper presents a procedure to optimize the efficiency and the volume of a high step-up converter that utilizes a coupled inductor with three windings installed in only one core. This optimization procedure is carried out using 3D and 2D Finite Element Method simulations. In this procedure, a complete modeling of power losses, size, and flux density is evaluated by comparing different materials and dimensions. The results of this modeling stage are introduced into a multi-objective optimization algorithm to obtain a Pareto front. Finally, the optimization methodology is validated by experimental tests.
Notes: [Martinez, Wilmar] Katholieke Univ Leuven, Campus Diepenbeek, Leuven, Belgium. [Martinez, Wilmar; Cortes, Camilo] Univ Nacl Colombia, Bogota, Colombia. [Bilal, Ahmad; Kyyra, Jorma] Aalto Univ, Espoo, Finland.
Keywords: Finite Element Methods; High Step-Up Converter; Efficiency; Power Density;Finite Element Methods; High Step-Up Converter; Efficiency; Power Density.
Document URI: http://hdl.handle.net/1942/28726
ISBN: 9784886864055
ISI #: 000449328902024
Rights: Open access
Category: C1
Type: Proceedings Paper
Appears in Collections:Research publications

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