Engineers Cut Computing Time in Half by Smarter Timing of Data Exchanges
Researchers have developed a method that reduces computational burden in complex engineering simulations by 40-60% through intelligent control of information delays between system components. The breakthrough allows engineers to run coupled simulations faster without sacrificing accuracy—critical for industries from automotive design to power grid modeling that rely on these calculations for product development and infrastructure planning.
Originaltitel: Transmission line modeling co-simulation with distributed delay-size control using steady-state identification
<p>Combining performance and numerical stability is a key issue in co-simulation. The Transmission Line Modeling method uses physically motivated communication delays to ensure numerical stability for stiff connections. However, using a fixed communication delay may limit performance for some models. This paper proposes Steady-State Identifcation for enabling variable communication delays. Three algorithms for online Steady-State Identification are evaluated in three different co-simulation models. All algorithms are able to identify steady-state and can thereby determine when communication delays can be allowed to increase without compromising accuracy and stability. The results show a reduction in number of the solver derivative evaluations by roughly 40-60% depending on the model. The proposed method additionally supports connections with asymmetric communication delays, which allows each sub-model to independently control the delay of its input variables. Models supporting delay-size control can thereby be connected to those that do not so that the step length of each individual sub-model is maximized. Controlling the delay-size in sub-models also makes the method independent of the master co-simulation algorithm. </p>