Alternative Combustion Concept for a Highly Phlegmatized Hybrid Powertrain – Simulation and Validation of Dual Fuel Homogeneous Charge Compression Ignition Engine Using Chemical Kinetics with 1-D Simulation & 3-D CFD Software

Authors

L. M. Grundl  MSc, P. K. Sundaram  MSc, Dr.-Ing. G. A. Pang, Prof. Dr.-Ing. C. T. Trapp, Institute of Vehicle Powertrains, Bundeswehr University, Munich; F. Loffredo MSc, Institute for Combustion Technology, RWTH Aachen University:

Year

2023

Print Info

Production/Publication ÖVK

Summary

With the increasing demand for carbon-neutral powertrains, the focus on innovative combustion concepts with renewable fuels has increased. As a part of the dtec.bw project - Munich Mobility Research Campus (MORE), a serial hybrid powertrain with a highly phlegmatized internal combustion engine using a dual-fuel homogeneous charge compression ignition concept (HCCI) is being developed. This serial hybrid powertrain allows the internal combustion engine to run on only three stationary operational points, resulting in lower fuel consumption, higher efficiency, and ultra-low NOx and soot emissions. Emissions reductions are further enhanced by renewable and carbon-neutral fuels such as ethanol and 1-octanol. Together with the ultra-lean homogeneous combustion concept, these fuels lead to negligible soot and extremely low NOx emissions. In this paper, the advantages of this concept are illustrated through simulations with detailed chemistry. For validation of the simulation models, experiments were conducted on a single-cylinder research engine. With the help of this base experimental data, the engine model is modelled and calibrated as a 1-D system using the simulation software GT-Power and also as a 3-D CFD model using the software AVL FIRE M. Both the models use a reduced chemical mechanism of ethanol and 1-octanol for combustion simulation. The validated models are used to demonstrate combustion control by varying the mixing ratio of ethanol and 1-octanol while maintaining highest homogeneity and total energy content. Moreover, this paper also discusses the challenges of using chemistry-based simulation models.

ISBN

978-3-9504969-2-5