Model predictive control of a hybrid fuel cell & battery power system. Behrendt, M., Bajcinca, N., Zenith, F., & Krewer, U. In IFAC Proceedings Volumes (IFAC-PapersOnline), volume 8, pages 131–136, 2012.
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This paper considers optimal operation of an hybrid powered energy system. The two power sources include a direct methanol fuel cell and a lithium-ion battery. A portable system represented by characteristic dynamic load profiles is considered as the consumer. A PI and a nonlinear model predictive control algorithm have been investigated and compared in terms of efficiency and robustness of operation. © 2012 IFAC.
@inproceedings{behrendt_model_2012,
	title = {Model predictive control of a hybrid fuel cell \& battery power system},
	volume = {8},
	copyright = {All rights reserved},
	isbn = {978-3-902823-05-2},
	doi = {10.3182/20120710-4-SG-2026.00184},
	abstract = {This paper considers optimal operation of an hybrid powered energy system. The two power sources include a direct methanol fuel cell and a lithium-ion battery. A portable system represented by characteristic dynamic load profiles is considered as the consumer. A PI and a nonlinear model predictive control algorithm have been investigated and compared in terms of efficiency and robustness of operation. © 2012 IFAC.},
	booktitle = {{IFAC} {Proceedings} {Volumes} ({IFAC}-{PapersOnline})},
	author = {Behrendt, Martin and Bajcinca, Naim and Zenith, Federico and Krewer, Ulrike},
	year = {2012},
	keywords = {Battery, DMFC, Fuel cell, Nonlinear model predictive control, Optimal control, Portable system},
	pages = {131--136},
}

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