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Talks and Poster Presentations (with Proceedings-Entry):

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";
Talk: 21st IFAC World Congress, Berlin; 2020-07-11 - 2020-07-19; in: "Ifac Wc 2020", IFAC-PapersOnLine, Volume 53, Issue 2, 2020, Pages 14205-14210 (2020), 14205 - 14210.



English abstract:
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.

Keywords:
Optimal Control, Online Energy Management, FCEV, MPC, PMP, Fuel Cell Degradation.


"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)
http://dx.doi.org/10.1016/j.ifacol.2020.12.1053


Created from the Publication Database of the Vienna University of Technology.