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Physically motivated models of electric drive trains with coupled mechanics are ubiquitous in industry for control design, simulation, feed-forward, model-based fault diagnosis etc. Often, however, the e ort of model building prohibits these model-based methods. In this paper an automated model selection strategy is proposed for dynamic simulation models that not only optimizes the accuracy of the t but also ensures practical identi ability of model parameters during structural optimization.doi:10.15488/10400 fatcat:4xvdnzncrrbfldmitywndkhgsu