Assessment through Numerical Simulation of the Impact of a 48 V Electric
Supercharger on Performance and CO2 Emissions of a Gasoline Passenger Car 2019-01-1284
The demanding CO2 emission targets are fostering the development of downsized, turbocharged and electrified engines. In this context, the need for high boost level at low engine speed requires the exploration of dual stage boosting systems. At the same time, the increased electrification level of the vehicles enables the usage of electrified boosting systems aiming to exploit the opportunities of high levels of electric power and energy available on-board.
The aim of this work is therefore to evaluate, through numerical simulation, the impact of a 48V electric supercharger (eSC) on vehicle performance and fuel consumption over different transient manoeuvers.
The virtual test rig employed for the analysis integrates a 1D CFD fast running engine model representative of a 1.5L state-of-the-art gasoline engine featuring an eSC upstream of the main turbocharger, a dual voltage electric network (12V + 48V), a six speed manual transmission and a vehicle representative of a B-SUV segment car.
The evaluation tests chosen for the case study were, on the one hand, vehicle elasticity manoeuvers for the performance assessment and, on the other hand, type approval and RDE driving cycles, for the fuel economy assessment.
An evaluation of possible engine and vehicle hardware modifications was also carried out. In particular, the effect of a variation of the final drive ratio, the increase of the turbine size and the usage of a high efficiency engine concept (featuring an increased compression ratio from 10 to 12 and a late intake valve closing, exploiting the advantages of a Miller cycle) were investigated.
The introduction of a 48V electric supercharger on a gasoline passenger car was shown in the selected test cases to lead to up to 14% improvements in the elasticity time and up to 10% improvement in fuel consumption when the high efficiency engine concept was considered.
Alessandro Zanelli, Federico Millo, Marco Barbolini, Luca Neri
Politecnico di Torino, Röchling Automotive