IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v366y2024ics0306261924006068.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261924006068
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2024.123223?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Wang, Xuechao & Chen, Jinzhou & Quan, Shengwei & Wang, Ya-Xiong & He, Hongwen, 2020. "Hierarchical model predictive control via deep learning vehicle speed predictions for oxygen stoichiometry regulation of fuel cells," Applied Energy, Elsevier, vol. 276(C).
    2. Jonas Breitinger & Mark Hellmann & Helerson Kemmer & Stephan Kabelac, 2023. "Automotive Fuel Cell Systems: Testing Highly Dynamic Scenarios," Energies, MDPI, vol. 16(2), pages 1-15, January.
    3. Xuerui Ma & Yong Zhang & Chengliang Yin & Shifei Yuan, 2017. "Multi-Objective Optimization Considering Battery Degradation for a Multi-Mode Power-Split Electric Vehicle," Energies, MDPI, vol. 10(7), pages 1-16, July.
    4. Carlo Cunanan & Manh-Kien Tran & Youngwoo Lee & Shinghei Kwok & Vincent Leung & Michael Fowler, 2021. "A Review of Heavy-Duty Vehicle Powertrain Technologies: Diesel Engine Vehicles, Battery Electric Vehicles, and Hydrogen Fuel Cell Electric Vehicles," Clean Technol., MDPI, vol. 3(2), pages 1-16, June.
    5. Teresa Donateo, 2023. "Semi-Empirical Models for Stack and Balance of Plant in Closed-Cathode Fuel Cell Systems for Aviation," Energies, MDPI, vol. 16(22), pages 1-40, November.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yang, Jian & Zhang, Tiezhu & Hong, Jichao & Zhang, Hongxin & Zhao, Qinghai & Meng, Zewen, 2021. "Research on driving control strategy and Fuzzy logic optimization of a novel mechatronics-electro-hydraulic power coupling electric vehicle," Energy, Elsevier, vol. 233(C).
    2. Johannes Karlsson & Anders Grauers, 2023. "Agent-Based Investigation of Charger Queues and Utilization of Public Chargers for Electric Long-Haul Trucks," Energies, MDPI, vol. 16(12), pages 1-25, June.
    3. Hu, Haowen & Ou, Kai & Yuan, Wei-Wei, 2023. "Fused multi-model predictive control with adaptive compensation for proton exchange membrane fuel cell air supply system," Energy, Elsevier, vol. 284(C).
    4. Andrzej Ziółkowski & Paweł Fuć & Piotr Lijewski & Aleks Jagielski & Maciej Bednarek & Władysław Kusiak, 2022. "Analysis of Exhaust Emissions from Heavy-Duty Vehicles on Different Applications," Energies, MDPI, vol. 15(21), pages 1-21, October.
    5. Mariano Gallo & Mario Marinelli, 2023. "The Use of Hydrogen for Traction in Freight Transport: Estimating the Reduction in Fuel Consumption and Emissions in a Regional Context," Energies, MDPI, vol. 16(1), pages 1-20, January.
    6. Hensher, David A. & Wei, Edward, 2024. "Energy and environmental costs in transitioning to zero and low emission trucks for the Australian truck Fleet: An industry perspective," Transportation Research Part A: Policy and Practice, Elsevier, vol. 185(C).
    7. Tobias Mueller & Steven Gronau, 2023. "Fostering Macroeconomic Research on Hydrogen-Powered Aviation: A Systematic Literature Review on General Equilibrium Models," Energies, MDPI, vol. 16(3), pages 1-33, February.
    8. Sylvain Rigal & Amine Jaafar & Christophe Turpin & Théophile Hordé & Jean-Baptiste Jollys & Paul Kreczanik, 2024. "Steady-State Voltage Modelling of a HT-PEMFC under Various Operating Conditions," Energies, MDPI, vol. 17(3), pages 1-18, January.
    9. Sebastian Sigle & Robert Hahn, 2023. "Energy Assessment of Different Powertrain Options for Heavy-Duty Vehicles and Energy Implications of Autonomous Driving," Energies, MDPI, vol. 16(18), pages 1-20, September.
    10. López-Ibarra, Jon Ander & Gaztañaga, Haizea & Saez-de-Ibarra, Andoni & Camblong, Haritza, 2020. "Plug-in hybrid electric buses total cost of ownership optimization at fleet level based on battery aging," Applied Energy, Elsevier, vol. 280(C).
    11. Quan, Shengwei & Wang, Ya-Xiong & Xiao, Xuelian & He, Hongwen & Sun, Fengchun, 2021. "Feedback linearization-based MIMO model predictive control with defined pseudo-reference for hydrogen regulation of automotive fuel cells," Applied Energy, Elsevier, vol. 293(C).
    12. Jon Williamsson, 2022. "EV Charging on Ferries and in Terminals—A Business Model Perspective," Energies, MDPI, vol. 15(18), pages 1-14, September.
    13. Shantanu Pardhi & Sajib Chakraborty & Dai-Duong Tran & Mohamed El Baghdadi & Steven Wilkins & Omar Hegazy, 2022. "A Review of Fuel Cell Powertrains for Long-Haul Heavy-Duty Vehicles: Technology, Hydrogen, Energy and Thermal Management Solutions," Energies, MDPI, vol. 15(24), pages 1-55, December.
    14. Liu, Ze & Zhang, Baitao & Xu, Sichuan, 2022. "Research on air mass flow-pressure combined control and dynamic performance of fuel cell system for vehicles application," Applied Energy, Elsevier, vol. 309(C).
    15. Halder, Pobitra & Babaie, Meisam & Salek, Farhad & Shah, Kalpit & Stevanovic, Svetlana & Bodisco, Timothy A. & Zare, Ali, 2024. "Performance, emissions and economic analyses of hydrogen fuel cell vehicles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 199(C).
    16. Johannes Karlsson & Anders Grauers, 2023. "Case Study of Cost-Effective Electrification of Long-Distance Line-Haul Trucks," Energies, MDPI, vol. 16(6), pages 1-22, March.
    17. Martin, Jonas & Neumann, Anne & Ødegård, Anders, 2023. "Renewable hydrogen and synthetic fuels versus fossil fuels for trucking, shipping and aviation: A holistic cost model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 186(C).
    18. Dong, Peng & Zhao, Junwei & Liu, Xuewu & Wu, Jian & Xu, Xiangyang & Liu, Yanfang & Wang, Shuhan & Guo, Wei, 2022. "Practical application of energy management strategy for hybrid electric vehicles based on intelligent and connected technologies: Development stages, challenges, and future trends," Renewable and Sustainable Energy Reviews, Elsevier, vol. 170(C).
    19. Sylvain Rigal & Amine Jaafar & Christophe Turpin & Théophile Hordé & Jean-Baptiste Jollys & Paul Kreczanik, 2024. "An Air Over-Stoichiometry Dependent Voltage Model for HT-PEMFC MEAs," Energies, MDPI, vol. 17(12), pages 1-17, June.
    20. Zhang, Zhendong & Wang, Ya-Xiong & He, Hongwen & Sun, Fengchun, 2021. "A short- and long-term prognostic associating with remaining useful life estimation for proton exchange membrane fuel cell," Applied Energy, Elsevier, vol. 304(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:appene:v:366:y:2024:i:c:s0306261924006068. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.