Approach for sizing by optimization of an electrical drive considering a multiphysics and multidynamics behaviour

• Robin Thomas ^[1] ; Laurent Gerbaud ^[1] ; Herve Chazal ^[1] ; Lauric Garbuio ^[1]
  1. [1] Univ. Grenoble Alpes, CNRS, Grenoble INP, G2Elab, Grenoble, France
• Localización: Compel: International journal for computation and mathematics in electrical and electronic engineering, ISSN 0332-1649, Vol. 43, Nº Extra 4, 2024 (Ejemplar dedicado a: Optimization and Inverse Problems in Electromagnetism), págs. 802-820
• Idioma: inglés
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• Resumen

  • Purpose This paper aims to describe a modelling and solving methodology of a (static converter–electric motor–control) system for its sizing by optimization, considering the dynamic thermal heating of the machine.

    Design/methodology/approach The electrical drive sizing model is composed of two simulators (electrical and thermal) that are co-simulated with a master−slave relationship for the time step management. The computation is stopped according to simulation criteria.

    Findings This paper details a methodology to represent and size an electrical drive using a multiphysics and multidynamics approach. The thermal simulator is the master and calls the electrical system simulator at a fixed exchange time step. The two simulators use a dedicated dynamic time solver with adaptive time step and event management. The simulation automatically stops on pre-established criteria, avoiding useless simulations.

    Research limitations/implications This paper aims to present a generic methodology for the sizing by optimization of electrical drives with a multiphysics approach, so the precision and computation time highly depend on the modelling method of each components. A genetic multiobjective optimization algorithm is used.

    Practical implications The methodology can be applied to size electrical drives operating in a thermally limited zone. The power electronics converter and electrical machine can be easily adapted by modifying their sub-model, without impacting the global model and simulation principle.

    Originality/value The approach enables to compute a maximum operating duration before reaching thermal limits and to use it as an optimization constraint. These system considerations allow to over constrain the electrical machine, enabling to size a smaller machine while guaranteeing the same output performances.