An adaptive PMP-based model predictive energy management strategy for fuel cell hybrid railway vehicles

eTransportation, vol. 7, pp. 100094

Authors 9

1. Kai Deng corresponding Aachen Institute of Electrical Machines (IEM)

   RWTH Aachen University

   Affiliation as printed

   Institute of Electrical Machines (IEM), RWTH Aachen University, Germany

2. Hujun Peng Aachen Institute of Electrical Machines (IEM)

   RWTH Aachen University

   Affiliation as printed

   Institute of Electrical Machines (IEM), RWTH Aachen University, Germany

3. Steffen Dirkes Aachen Institute for Combustion Engines (VKA)

   RWTH Aachen University

   Affiliation as printed

   Institute for Combustion Engines (VKA), RWTH Aachen University, Germany

4. Jonas Gottschalk Aachen Institute for Combustion Engines (VKA)

   RWTH Aachen University

   Affiliation as printed

   Institute for Combustion Engines (VKA), RWTH Aachen University, Germany

5. Cem Ünlübayir Aachen Chair for Electrochemical Energy Conversion and Storage Systems Institute for Power Electronics and Electrical Drives (ISEA)

   RWTH Aachen University

   Affiliation as printed

   Chair for Electrochemical Energy Conversion and Storage Systems, Institute for Power Electronics and Electrical Drives (ISEA), RWTH Aachen University, Aachen, Germany

6. Andreas Thul Aachen Institute of Electrical Machines (IEM)

   RWTH Aachen University

   Affiliation as printed

   Institute of Electrical Machines (IEM), RWTH Aachen University, Germany

7. Lars Löwenstein

   Siemens (Austria)

   Affiliation as printed

   Siemens Mobility GmbH, Vienna, Austria

8. Stefan Pischinger Aachen Institute for Combustion Engines (VKA)

   RWTH Aachen University

   Affiliation as printed

   Institute for Combustion Engines (VKA), RWTH Aachen University, Germany

9. Kay Hameyer Aachen Institute of Electrical Machines (IEM)

   RWTH Aachen University

   Affiliation as printed

   Institute of Electrical Machines (IEM), RWTH Aachen University, Germany