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

Author

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  • Haubensak, Lukas
  • Strahl, Stephan
  • Braun, Jochen
  • Faulwasser, Timm

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.

Suggested Citation

  • Haubensak, Lukas & Strahl, Stephan & Braun, Jochen & Faulwasser, Timm, 2024. "Towards real-time capable optimal control for fuel cell vehicles using hierarchical economic MPC," Applied Energy, Elsevier, vol. 366(C).
    • Handle: RePEc:eee:appene:v:366:y:2024:i:c:s0306261924006068
    DOI: 10.1016/j.apenergy.2024.123223
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