Application of ECSPN to RAMS modeling and analysis of hybrid drive systems

In our paper we present a modeling and simulation approach based on a class of Extended Colored Stochastic Petri Nets and a Monte Carlo Simulation to analyze and optimize hybrid car systems. The approach allows the modeling of various functional dependencies between the components of a hybrid car drive system and the integration of lifetime models. The Monte Carlo simulation approach allows the analysis and optimization of very detailed system characteristics. We demonstrate the abilities of our approach with a simulation study of a power split strong hybrid car drive system focusing on the occurrence of comfort and safety relevant events.