Uncertainty Quantification to Support Hybrid Electric Engine Robust Design
Please login to view abstract download link
This work explores a hybrid-electric propulsion architecture for short- and medium-range aircraft to accelerate aviation decarbonization. The configuration couples a gas turbine and a fuel cell–powered electrical subsystem, mechanically linked to a propeller via a gearbox. An integrated system model captures hybrid-cycle behavior, while Polynomial Chaos Expansion (PCE)–based uncertainty quantification (UQ) provides efficient, non-intrusive statistics on system performance under uncertainty. These insights feed a robust design optimization framework that identifies solutions maintaining strong performance across varied conditions. The integrated workflow improves early-stage decision making, highlights key variability drivers, supports requirement definition and trade-space exploration for next-generation of lower-emission aircraft.
