A High Level approach to mean value modeling of an automotive engine during cold-start

Wide-spread use of the model-based design process in automotive powertrain system development is increasing the need for accurate dynamic models. Model-based design inherently requires these models to be rapidly producible and easily verifiable. The High Level Modeling (HLM) approach and corresponding High Level Modeling Tool (HLMT) have been developed in response to these necessities. In this work, the HLM methodology is applied to a cold-start engine system. An existing physical/empirical model is reformulated in a conserved quantities framework to satisfy the requirements of HLM. The modified model is then implemented and simulated in HLMT. Simulation results are validated against real engine data. Comparison of results demonstrates the new model successfully predicts cold-start engine dynamics despite the replacement of many empirically derived equations.