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Optimizing power converters with partially saturated inductors by evolutionary algorithms | IEEE Conference Publication | IEEE Xplore

Optimizing power converters with partially saturated inductors by evolutionary algorithms


Abstract:

This paper investigates the optimization of power converters using ferrite inductors in Sustainable Saturation Operation (SSO), performed by means of an Evolutionary Algo...Show More

Abstract:

This paper investigates the optimization of power converters using ferrite inductors in Sustainable Saturation Operation (SSO), performed by means of an Evolutionary Algorithm (EA). The EA is adopted to identify viable optimal solutions providing a trade-off among efficiency, inductor volume, reliability and electromagnetic emissions. Three non-isolated low-power converters of different voltage and current ratings and based on buck, boost and buck-boost topologies, have been considered for the investigation. The results show that the EA is able to identify design solutions achieving best efficiency, volume, reliability and emissions performances with inductors in SSO.
Date of Conference: 12-15 June 2017
Date Added to IEEE Xplore: 17 July 2017
ISBN Information:
Conference Location: Giardini Naxos, Italy

References

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