Holistic Approach for the Design and Dimensioning of a Hybridized Heavy-Duty Truck

This paper describes a methodology for the design and dimensioning of a hybridized powertrain for heavy-duty vehicles. It is based on a two-stage approach in which a suitable hybrid configuration is first found by pure simulation with the aid of a genetic algorithm and then a multi-criterial optimization is carried out on the Engine-in-the-Loop test bench with the inclusion of DoE. In this process, the electrical components of the hybrid powertrain are optimally dimensioned. In principle, the presented methodology is open to changing boundary conditions and target variables, so that it is ideally suited as a tool for the design of hybrid powertrains. A variable level of detail can be specified to achieve an optimal result for each application. In addition, an exemplary optimization is presented herein, in which initially only the reduction of the CO₂-equivalent during operation is included as a cost function. In the second step, nitrogen oxides and particulate emissions are additionally considered. The example is based on a real existing and previously measured long-haul truck.