Engine Fuel Economy Optimization for Different Hybrid Architectures Using 1-D Simulation Technique

Hybridization of off road vehicles is in its early phase but it is likely to increase in coming years. In order to improve fuel economy and overall emission of the 3.3 litre tractor model, various kinds of engine hybridization is studied. This paper presents a methodology to predict vehicle fuel consumption and emission using 1-D software by coupling Ricardo Wave and Ricardo Ignite. Initially, An acceptable agreement within 5% deviation between simulation and experimental is established for engine steady state points, both for engine performance and NOx emission parameters. Engine fuel consumption and emission maps are predicted using Ricardo WAVE model. These maps are used as an input to IGNITE model for predicting cumulative fuel consumption. Same calibrated model is used further for studying idle start stop and fully hybrid P0 type hybrid architecture. The hybrid P0 type involves idle start stop, e-boost and regeneration. Model predicts overall significant reduction in cumulative fuel consumption and NOx, HC and CO emission.