Investigation of Coupling Mechanism of Multidisciplinary Sub-models of Electric Machines for Multi-physics optimization

Electric machine design, by nature, involves the knowledge of multiple physics. The sub-models in each physics domain of an electric machine are coupled with each other in one way or another. Physical couplings are the way of sharing input and/or output data between sub-models of different physics. This paper investigates the coupling mechanism of the multidisciplinary sub-models of electric machines. Attempts proposed in literature to decouple or partially decouple these sub-models in order to reduce computing time and to yield effective Pareto front for large scale multi-physics optimization of electric machines are reviewed.