Abstract
Output LC filter is one of the most important parts for Buck converters. The existing optimization methods for LC filter fail to provide a fully optimized design. The difficulty in a holistic design approach lies in the trade-off relationships among different design targets. For example, smaller volume results in worse filtering capability and lower efficiency. To improve the overall performance of the output LC filter in Buck converter, a multi-objective design is proposed, taking the power loss, cut-off frequency and volume as design targets. This proposed holistic design approach utilizes Pareto-Frontier to achieve a compact LC filter with optimized efficiency and filtering capability. However, Pareto-Frontier generated by the previous multi-objective algorithms suffers from nonuniform or incomplete coverage, which seriously undermines design accuracy. Thus, the coevolving-AMOSA algorithm is proposed to provide a Pareto-Frontier with uniform and complete coverage. Via this proposed multi-objective design for the output LC filter in Buck converter with the coevolving-AMOSA algorithm, output LC filter can be flexibly designed to meet requirements in various applications while maintaining outstanding comprehensive performance. Optimal design cases for three specific application scenarios are presented as examples. Finally, the experimental results validate the effectiveness of the proposed multi-objective approach.
Highlights
Buck converters are playing important roles in both industries and our daily life
In Stage 2, the specially proposed coevolving-AMOSA algorithm is adopted for this multi-objective design approach to locate Pareto-Frontier accurately
EXPERIMENTAL VERIFICATIONS To validate the feasibility and effectiveness of the proposed multi-objective design approach for the output LC filter in Buck converter with coevolving-AMOSA algorithm, the design examples given in Table 4 in Section V are verified with hardware experiments
Summary
Buck converters are playing important roles in both industries and our daily life. In industry, Buck converters are applied in electric vehicles [1], renewable energy systems [2], and others [3] for power regulation and voltage conversion [4]. To conduct the multi-objective design considering the power efficiency, filtering capability and volume for theLCfilter in Buck converter is the first challenge of this article. In this article, a multi-objective design approach for the output LC filter in Buck converter with coevolvingAMOSA algorithm is proposed to achieve a fully-optimized LC filter. In Stage 2, the specially proposed coevolving-AMOSA algorithm is adopted for this multi-objective design approach to locate Pareto-Frontier accurately. With considerations of various application requirements, one final design solution along Pareto-Frontier can be picked out
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