Vorträge und Posterpräsentationen (mit Tagungsband-Eintrag):
A. Ferrara, M. Okoli, S. Jakubek, C. Hametner:
"Energy Management of Heavy-Duty Fuel Cell Electric Vehicles: Model Predictive Control for Fuel Consumption and Lifetime Optimization";
Vortrag: 21st IFAC World Congress,
- 19.07.2020; in: "Ifac Wc 2020",
Volume 53, Issue 2, 2020, Pages 14205-14210
This paper investigates the application of a simple but effective model predictive control concept for the fuel consumption and system lifetime optimization of a heavy-duty fuel cell electric vehicle. Energy management strategies primarily help extend the fuel cell lifetime by limiting shutdowns, transients and high-power operations to avoid detrimental conditions. In this framework, the proposed online control scheme determines a significant reduction of the average fuel cell power change rate and a small fuel consumption increment with respect to the control law that minimizes the fuel consumption, computed offline through the Pontryagin´s minimum principle. These results refer to the real-world driving mission of a road freight vehicle, including the elevation gradient of the road, which highly affects the load request in downhill and uphill sections. However, this preliminary study does not include a speed prediction model, but it assumes that the speed is known without uncertainties over a relatively short time horizon.
Optimal Control, Online Energy Management, FCEV, MPC, PMP, Fuel Cell Degradation.
"Offizielle" elektronische Version der Publikation (entsprechend ihrem Digital Object Identifier - DOI)
Erstellt aus der Publikationsdatenbank der Technischen Universität Wien.