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Adaption and Improvement of a Direct Method Optimization Algorithm for Trajectories and Control of Hybrid Fuel Cell Railway Vehicles

Kühlkamp, Florian (2020) Adaption and Improvement of a Direct Method Optimization Algorithm for Trajectories and Control of Hybrid Fuel Cell Railway Vehicles. Master's, Universität Stuttgart.

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Item URL in elib:https://elib.dlr.de/139625/
Document Type:Thesis (Master's)
Title:Adaption and Improvement of a Direct Method Optimization Algorithm for Trajectories and Control of Hybrid Fuel Cell Railway Vehicles
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Kühlkamp, FlorianFlorian.Kuehlkamp (at) dlr.deUNSPECIFIED
Date:2020
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Optimal control, fuel cell electric railway vehicles, railway optimization, minimum energy trajectories, direct method
Institution:Universität Stuttgart
Department:Institut für Fahrzeugtechnik Stuttgart
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Rail Transport
DLR - Research area:Transport
DLR - Program:V SC Schienenverkehr
DLR - Research theme (Project):V - NGT BIT
Location: Stuttgart
Institutes and Institutions:Institute of Vehicle Concepts > Vehicle Energy Concepts
Deposited By: Schenker, Moritz
Deposited On:08 Jan 2021 12:20
Last Modified:08 Jan 2021 12:20

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