The CO2-emissions and the Total Cost of Ownership are essential criteria for evaluating future commercial vehicle powertrain concepts. A machine learning method is used for optimum powertrain design.The potential of a systematic and automated search for a solution is demonstrated, using the example of Diesel-, HPDI-, LNG/CNG-engines, hybridization, predictive cruise control, transmission design, shifting strategy, and rear axle ratio adjustment. A generic operating strategy has been developed for energy-efficient control of the components. The developed method generates detailed powertrain solutions.     «

The CO2-emissions and the Total Cost of Ownership are essential criteria for evaluating future commercial vehicle powertrain concepts. A machine learning method is used for optimum powertrain design.The potential of a systematic and automated search for a solution is demonstrated, using the example of Diesel-, HPDI-, LNG/CNG-engines, hybridization, predictive cruise control, transmission design, shifting strategy, and rear axle ratio adjustment. A generic operating strategy has been developed fo...     »