Multiscale Simulation Approach for Battery Production Systems by Malte Schönemann

Author:Malte Schönemann
Language: eng
Format: epub
Publisher: Springer International Publishing, Cham

modeling the machine failure behavior.

Machine models can be developed and configured based on production data and measurements (e.g. Herrmann et al. 2011) or by using mathematical equations describing the machine operation based on physical effects (e.g. Eisele 2014; Heinzl et al. 2012). Furthermore, machine models can be of different detail (Hesselbach 2012). On the one hand, a machine can be treated as a black box. On the other hand, machines can be described in more detail by modeling the operation of each component. As a minimum requirement for the multiscale simulation, machine models have to describe machine states, the transition conditions between states, and parameters associated to states (e.g. energy demand during idle). Moreover, the compressed air demand and heat emissions of a machine have to be calculated. Information about states, demands, and emissions is required by the process chain model. To fulfill the minimum requirements, a generic state-based machine model – applicable for any kind of machine type – can be parametrized for specific machines.

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