The triple active bridge (TAB) is a promising 3-port DC-DC converter technology which performs bi-directional power transfer with galvanic isolation. Due to intensive interactions between parameter selection and a TAB converter’s performance in efficiency, specific power, reliability, and cost, many design considerations need to be simultaneously weighed to achieve an optimal converter. In this paper, a genetic algorithm based design optimization framework is developed to enhance the performance of a TAB converter with respect to multiple design objectives. Switching devices, thermal management systems, passive components, and the design of a planar multi-winding transformer are accounted for to ensure multidisciplinary performance benefits. Initial optimization results when aiming to attain the highest specific power and efficiency are presented, and the related design trade-offs are discussed.


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    Title :

    Multi-Objective Optimization of Triple Active Bridge DC-DC Converters


    Contributors:


    Publication date :

    2024-10-10


    Size :

    1759839 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English







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