Towards real-time capable optimal control for fuel cell vehicles using hierarchical economic MPC

Lukas Haubensak, Stephan Strahl, Jochen Braun and Timm Faulwasser

Applied Energy, 2024, vol. 366, issue C, No S0306261924006068

Abstract: Fuel cell vehicles are predicted to play an important role in the electrification of heavy-duty transportation, hence the efficient operation of their powertrains is critical. Since the system dynamics of fuel cell systems are characterized by widespread time-scales (from electrochemistry to thermal processes), the implementation of optimization-based control methods poses several challenges. Control of systems with dynamics covering multiple time-scales leads to a trade-off between control performance and computational effort if solved with a conventional single-layer Model Predictive Control (MPC) scheme. One approach is to partition the problem into different time-scales and to construct a hierarchical architecture combining multiple control layers.

Keywords: Hierarchical MPC; Fuel cell vehicle; Power-split; Hydrogen consumption; Multi-time scale systems; Multi-physics systems; Sector coupling (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1016/j.apenergy.2024.123223

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