Control strategies for optimized multi-attribute eco-powertrains performance

Control-oriented models that aim to predict performances as a function of engine design and operating conditions have been recently developed for calibrating purposes. Dealing with conventional ICE powertrain, the target of these strategies is usually to achieve a reduction in terms of pollutant emission and fuel consumption assuring certain power performances requested by the driver. The cited control strategies have obviously an impact on the perceived noise and vibration comfort. The key challenge relates to developing real-time control models with respect to calibration parameter settings with multi-objective purposes, searching, for each operating condition, the best trade-off in terms of engine power, ecoefficiency and NVH. For this purpose, understanding the impact of the electronic control unit parameter settings on the eco-efficiency and the NVH is essential. Starting from the sound decomposition & synthesis, modelling assumptions by means of component TPA will be made in order to obtain a full vehicle sound “ensemble”. This approach will be applied to industrial relevant cases for hybrid and pure electric powertrains and will be carried on through the use of a multi-attribute 1D simulation environment and tested by means of HIL and XIL platforms. Finally, an extension of the developed technology to eVTOL (electric Vertical take-off and landing) will be studied.