Forschung für den Mittelstand - Die IGF-Projektdatenbank

Untersuchung eines disruptiven Light-Duty-Dieselantriebstrangkonzepts mit Abgasnachbehandlung vor Turbine und Hybridisierung für 2027+

Particularly the very price-sensitive commercial light-duty segment has a worldwide market share that can’t be covered by BEVs alone in the period of 2027+. Additionally, the application of H2 concepts will not be expedient in this class on a large scale within the considered time period. Diesel concepts are clearly advantageous in price, compared to BEVs and FCEVs. Ultra clean ICEs with a fast EAT response are predicted to be available out of EU region with a long-term perspective until at least 2050.

Hybridization and exhaust after-treatment (EAT) concepts for LD diesel need to be looked at to meet the most stringent emissions regulations. The EAT reaches its limits when it comes to reducing NOx emissions, especially in the warm-up phase after a cold start with a standard SCR. Therefore, the exhaust gas aftertreatment is modified. The combination of the pre-turbine EAT with a hybridization of the powertrain leads to a disruptive new ICE powertrain concept and requires a new operating strategy that differs significantly from current solutions. Such an operating strategy will be developed using AI methods, more specifically reinforcement learning, within this project.

This research project is not only of scientific but also of great economic importance as the results obtained can specifically be used in hybrid powertrain design and development activities. Moreover, the findings can be incorporated into the development of system components, simulation software and tools, data analytics, and engine control systems. SME would particularly benefit since they offer services and products exactly within these previously named categories. In this regard, the developed methodology shall increase their operational efficiency and, in doing so, strengthen their competitiveness compared to large companies.