A Method for Efficient Simulation of Hybrid Bond Graphs

The hybrid bond graph (HBG) paradigm is a uniform, multi-domain physics-based modeling language. It incorporates controlled and autonomous mode changes as idealized switching functions that enable the reconfiguration of energy flow paths to model hybrid physical systems. Building accurate and computationally efficient simulation mechanisms from HBG models is a challenging task, especially when there is no a priori knowledge of the subset of system modes that will be active during the simulation. In this work, we present an approach that exploits the inherent causal structure in HBG models to derive efficient hybrid simulation models as reconfigurable block diagram structures. We present a MATLABr Simulinkr implementation of our approach and demonstrate its effectiveness using an electrical circuit example.