Exploiting cloud computing in the multi-physics design and optimisation of electromagnetic devices

Abstract

Abstract-Cloud computing is a type of distributed computing that enables public, on-demand network (internet) access to a large pool of shared computing resources, making it easier than ever to outsource computing tasks on a pay-as-you-go basis. In this paper, a cloud computing service is used to complement an existing high-fidelity multi-physics power inductor design workflow by enabling multiple instances of the design analysis to be executed in parallel on virtual computers in a cloud computing environment. This method accelerates the design development cycle and can allow a more thorough evaluation of the design space within a short time-frame, at a moderate cost and can potentially lead to improved designs. The modified workflow is demonstrated by the design optimisation of a high-energy-density filter inductor for an automotive application.

Multi-physics design of high-energy-density wound components

“…The objective function is multivalued meaning that a number of design parameter sets, D p , can equally satisfy the design specification. In this study, the design tool is used to generate a set of 150 design candidates and identify a Pareto optimal set, [18]. An example of the objective function value, (6), as a function of each PSO generation for three of the candidate designs is shown in Fig.…”

“…Each candidate design shows similar characteristics with the primary difference being the active length, L act , aspect ratio, AR, mass and generated loss. The Pareto optimal set is used to select a design that not only meets the specification but provides the most beneficial trade-off between loss and mass, [18]. The average objective function value of the selected design was 8.6 × 10 −2 after 50 generations taking approximately 11 and 1/4 hours to complete.…”