Especially with the current transition to electromobility, overall system efficiency plays a crucial role. On the one hand, additional demand for electrical energy arises on the generation side, and on the other hand, the driving range of electric vehicles is an important criterion.
With a well-equipped machine laboratory and the use of modern commercial and in-house computational tools, it is possible to study and improve the overall efficiency of these machines. Modern methods such as digitalization and machine learning are also applied in this process.
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