Engine Fuel Economy Optimization for different Hybrid Architectures using 1-D Simulation technique
To be published on November 21, 2019 by SAE International in United States
Event: NuGen Summit
In order to improve fuel economy of the 3.3 litre tractor model, various kinds of engine hybridization is studied. This paper presents a methodology to predict engine fuel consumption using 1-D software by coupling Ricardo Wave and Ricardo Ignite. Engine fuel consumption and emission maps are predicted using Ricardo WAVE. These maps are used as an input to IGNITE for predicting cumulative fuel consumption. There is good agreement within 10% deviation between simulated cumulative fuel consumption and experimental cumulative fuel consumption. Same calibrated model is used further for studying series hybridization, parallel P1 type and Parallel P2 type of hybridization. A design of experiment (DOE) model is run for different electric motor sizes, battery capacity and battery state of charge condition, to understand their effects on overall engine fuel consumption and cycle soot emission. Model predicts overall significant reduction in cumulative fuel consumption and soot emission. Lower soot emission will leads to smaller exhaust after-treatment size. There is trade-off between higher cost due to hybridization and lower cost due to lower after-treatment size. A cost comparison study is highlighted in this work.