An unsupervised machine-learning technique, aimed at the identification of optimal rule-based control strategy, has been developed for parallel hybrid electric vehicles that feature a torque-coupling (TC) device, speed-coupling (SC) device or dual-mode system, which is able to realize both actions. The approach based on preliminary carried out by means benchmark optimizer, deterministic dynamic programming different driving scenarios. optimization selecting values variables (i.e.,...

Two different machine-learning techniques have been assessed and applied to define rule-based control strategies for a parallel hybrid midsize sport utility vehicle equipped with diesel engine. Both methods include two phases: clustering algorithm rule definition. In the first method, homemade is preliminarily run generate set of clusters, while rules are identified by minimizing an objective function. second genetic provides optimal size associated extracted from results obtained benchmark...

An optimal design toolbox for hybrid electric vehicles has been developed and applied to three different vehicle segments (a compact vehicle, a small SUV medium-size SUV) two separate power-split layouts, both equipped with diesel engine. One layout features (3gTR) whereas the other lacks of additional 3-gear transmission. The combines optimization that control strategy is based on minimization total cost ownership (TCO) over lifetime. tool still retains capability complying performance...

This paper describes the optimization of layout and control strategy through-the-road (TTR) parallel hybrid electric vehicles equipped with two compression-ignition engines that feature different values maximum output power. First, a tool has been developed to define optimal each TTR vehicle. is based on minimization powertrain fuel cost over 10-year time span, taking into account consumption. Several performance requirements are guaranteed during optimization, namely vehicle velocity, 0-100...

Hybrid Electric Vehicles (HEVs) can be considered one of the most promising ways improving sustainability road transport sector. They are equipped with an Internal Combustion Engine (ICE) coupled to electro-mechanical system. This study has focused on a parallel-hybrid diesel powertrain featuring high-voltage Belt Alternator Starter (BAS). layout allows regenerative braking, Stop&Start, load point shift and electric power assistance ICE. However, dedicated optimization operating strategy...

New methodologies have been developed to optimize EGR rate and injection timing in diesel engines, with the aim of minimizing fuel consumption (FC) NOx engine-out emissions. The approach entails application a recently control-oriented engine model, which includes simulation heat release rate, in-cylinder pressure brake torque, as well emission levels. model was coupled C-class vehicle order derive speed torque demand for several driving cycles, including NEDC, FTP, AUDC, ARDC AMDC....