Safe and Efficient Polymer Electrolyte Membrane Fuel Cell Control Using Successive Linearization Based Model Predictive Control Validated on Real Vehicle Data
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References listed on IDEAS
- Daniel Ritzberger & Christoph Hametner & Stefan Jakubek, 2020. "A Real-Time Dynamic Fuel Cell System Simulation for Model-Based Diagnostics and Control: Validation on Real Driving Data," Energies, MDPI, vol. 13(12), pages 1-20, June.
- da Fonseca, R. & Bideaux, E. & Gerard, M. & Jeanneret, B. & Desbois-Renaudin, M. & Sari, A., 2014. "Control of PEMFC system air group using differential flatness approach: Validation by a dynamic fuel cell system model," Applied Energy, Elsevier, vol. 113(C), pages 219-229.
- Meidanshahi, Vida & Karimi, Gholamreza, 2012. "Dynamic modeling, optimization and control of power density in a PEM fuel cell," Applied Energy, Elsevier, vol. 93(C), pages 98-105.
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Cited by:
- Robert Nebeluk & Maciej Ławryńczuk, 2022. "Fast Model Predictive Control of PEM Fuel Cell System Using the L 1 Norm," Energies, MDPI, vol. 15(14), pages 1-17, July.
- Zhang Peng Du & Andraž Kravos & Christoph Steindl & Tomaž Katrašnik & Stefan Jakubek & Christoph Hametner, 2021. "Physically Motivated Water Modeling in Control-Oriented Polymer Electrolyte Membrane Fuel Cell Stack Models," Energies, MDPI, vol. 14(22), pages 1-20, November.
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Keywords
fuel cell; automotive; model predictive control; successive linearization; safe operation; efficient operation;All these keywords.
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