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Annals of Computer Science and Information Systems, Volume 11

Proceedings of the 2017 Federated Conference on Computer Science and Information Systems

Load balancing of heterogeneous parallel DC-DC converter

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DOI: http://dx.doi.org/10.15439/2017F199

Citation: Proceedings of the 2017 Federated Conference on Computer Science and Information Systems, M. Ganzha, L. Maciaszek, M. Paprzycki (eds). ACSIS, Vol. 11, pages 895–899 ()

Full text

Abstract. Switching power converters can achieve very high efficiency. However, they do so only for slim subset of operating conditions. Power supplies and loads with highly variable parameters do not operate at peak performance all the time. Energy harvesting and battery powered systems are typical examples. This paper studies the convenience of heterogeneous parallel DC-DC converter as a solution to this problem. The use of multiple diverse converter topologies in parallel could expand range of operating conditions with high efficiency. Such solution poses another issue of balancing workload across all topologies in system with minimal computational power. Efficiency of proposed converter is estimated by modelling converter circuits and running heuristic optimization on these models.

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