Project Description

Project HyTruck focuses on heavy-duty fuel cell electric vehicles for road freight transport and applied research for their technological advancement.

The Main Goals

  • develop, build, calibrate, and validate a heavy-duty fuel cell powertrain;
  • fulfill requirements regarding power, efficiency, reliability, and lifetime;
  • develop new and innovative control strategies to improve performance.

Within the project, TU Wien investigated using predictive driving information in supervisory control strategies to assess potential improvements in hydrogen consumption and components life.

Schematic representation of a fuel cell and a motor

Supervisory control is critical in heavy-duty fuel cell vehicles because it highly affects their operating costs and the lifespan of powertrain components. In particular, the energy management system operates the power-split of the electric load demand between the fuel cell and battery systems with the targets of low hydrogen consumption, limited fuel cell degradation, and suitable battery state-of-charge (SoC) control to avoid accelerated degradation.

Video Presentation

Interested in more information? Watch our project video on this exciting topic!

The presentation offers a general overview of the topic, challenges, and methods developed within the project. The results show that predictive energy management strategies determine substantial benefits for hydrogen consumption and SoC control, especially for vehicles driving in mountain routes.

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Video Title: HyTruck Austria

Publications

Ferrara, Alessandro, Saeid Zendegan, Hans-Michael Koegeler, Sajin Gopi, Martin Huber, Johannes Pell, and Christoph Hametner. "Optimal Calibration of an Adaptive and Predictive Energy Management Strategy for Fuel Cell Electric Trucks, opens an external URL in a new window." Energies 15, no. 7 (2022): 2394.

Ferrara, Alessandro, Stefan Jakubek, and Christoph Hametner. "Energy management of heavy-duty fuel cell vehicles in real-world driving scenarios: Robust design of strategies to maximize the hydrogen economy and system lifetime, opens an external URL in a new window." Energy Conversion and Management 232 (2021): 113795.

Zendegan, Saeid, Alessandro Ferrara, Stefan Jakubek, and Christoph Hametner. "Predictive Battery State of Charge Reference Generation Using Basic Route Information for Optimal Energy Management of Heavy-Duty Fuel Cell Vehicles, opens an external URL in a new window" IEEE Transactions on Vehicular Technology 70, no. 12 (2021): 12517-12528.

Ferrara, Alessandro, and Christoph Hametner. "Impact of Energy Management Strategies on Hydrogen Consumption and Start-up/Shut-down Cycles in Fuel Cell-Ultracapacitor-Battery Vehicles, opens an external URL in a new window." IEEE Transactions on Vehicular Technology (2021).

Ferrara, Alessandro, and Christoph Hametner. "Rule-Based Energy Management Strategy of Fuel Cell/Ultracapacitor/Battery Vehicles: winner of the IEEE VTS Motor Vehicles Challenge 2020, opens an external URL in a new window." In 2020 IEEE Vehicle Power and Propulsion Conference (VPPC), pp. 1-7. IEEE, 2020.

Ferrara, Alessandro, Michael Okoli, Stefan Jakubek, and Christoph Hametner. "Energy management of heavy-duty fuel cell electric vehicles: Model predictive control for fuel consumption and lifetime optimization, opens an external URL in a new window." IFAC-PapersOnLine 53, no. 2 (2020): 14205-14210.

Duration

  • January 2019 - March 2022

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Contact

Associate Prof. Dipl.-Ing. Dr.techn.Christoph Hametner

Send email to Christoph Hametner