Abstract
his work is devoted to the efficient simulation of large multi-physical
networks stemming from automated modeling processes in system simulation software. The simulation of hybrid, battery and fuel cell electric vehicle applications requires the coupling of electric, mechanic, fluid and thermal networks. Each network is established by combining the connection structure of a graph with physical equations of elementary components and resulting in a differential algebraic equation (DAE). In order to speed up the simulation a non-iterative multirate time integration co-simulation method for the system of coupled DAEs is established. The power of the multirate method is shown via two representative examples of a battery powered electric vehicle with a cooling system for the battery pack and a three phase inverter with a cooling system.
networks stemming from automated modeling processes in system simulation software. The simulation of hybrid, battery and fuel cell electric vehicle applications requires the coupling of electric, mechanic, fluid and thermal networks. Each network is established by combining the connection structure of a graph with physical equations of elementary components and resulting in a differential algebraic equation (DAE). In order to speed up the simulation a non-iterative multirate time integration co-simulation method for the system of coupled DAEs is established. The power of the multirate method is shown via two representative examples of a battery powered electric vehicle with a cooling system for the battery pack and a three phase inverter with a cooling system.
| Original language | English |
|---|---|
| Number of pages | 9 |
| Publication status | Published - 2021 |
| Externally published | Yes |