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Controller design for polymer electrolyte membrane fuel cell systems for automotive applications

Authors: Gómez Pomar, Juan Carlos; Serra, Maria; Husar, Attila Peter;

Controller design for polymer electrolyte membrane fuel cell systems for automotive applications

Abstract

This work develops and compares three different controllers for PEMFC systems in automotive applications. All the controllers have a cascade control structure, where a generator of setpoints sends references to the subsystems controllers with the objective to maximize operational efficiency. To develop the setpoints generators, two techniques are evaluated: off-line optimization and Model Predictive Control (MPC). With the first technique, the optimal setpoints are given by a map, obtained off-line, of the optimal steady state conditions and corresponding setpoints. With the second technique, the setpoints time profiles that maximize the efficiency in an incoming time horizon are continuously computed. The proposed MPC architecture divides the fast and slow dynamics in order to reduce the computational cost. Two different MPC solutions have been implemented to deal with this fast/slow dynamics separation. After the integration of the setpoints generators with the subsystems controllers, the different control systems are tested and compared using a dynamic detailed model of the automotive system in the INN-BALANCE project running under the New European Driving Cycle. Peer Reviewed

Country
Spain
Keywords

Non-linear model predictive control, Electric vehicles, :Informàtica::Automàtica i control [Àrees temàtiques de la UPC], Fuel cell system, Automotive application, Efficiency optimization, Power system control, 620, Vehicles elèctrics, Àrees temàtiques de la UPC::Informàtica::Automàtica i control, Transport control., Control structure, Piles de combustible, Fuel cells, Transport control

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download
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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OpenAIRE UsageCountsDownloads provided by UsageCounts
18
Top 10%
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86
217
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