Requirement Oriented MBSE Approach for Next-Generation Electrified Rail Vehicles

This paper presents a methodology for the systematic, requirements-oriented development of new passenger rail vehicles using MBSE. The application example focuses on the implementation of drive systems with electric battery storage, with the objective of reducing CO* emissions on branch lines. The customer requirements, in particular with regard to range and track profile, are recorded in the SysML model. A bidirectional interface between CAD and SysML models, developed in Python, allows for the automatic determination of optimal parameters, for example in terms of capacity and weight distribution, for vehicle development. The CAD models are configured from the SysML model.

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Publication Details

Journal
Procedia CIRP
Published
2025-01-01
DOI
https://doi.org/10.1016/j.procir.2025.08.078
Primary Topic
Railway Systems and Energy Efficiency
Type
article
Field-Weighted Citation Impact
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article

Requirement Oriented MBSE Approach for Next-Generation Electrified Rail Vehicles

Carsten Stechert, Jens König, Nico Mischnick
Procedia CIRP
Railway Systems and Energy Efficiency
article

Requirement Oriented MBSE Approach for Next-Generation Electrified Rail Vehicles

Carsten Stechert, Jens König, Nico Mischnick
article en

Abstract

This paper presents a methodology for the systematic, requirements-oriented development of new passenger rail vehicles using MBSE. The application example focuses on the implementation of drive systems with electric battery storage, with the objective of reducing CO* emissions on branch lines. The customer requirements, in particular with regard to range and track profile, are recorded in the SysML model. A bidirectional interface between CAD and SysML models, developed in Python, allows for the automatic determination of optimal parameters, for example in terms of capacity and weight distribution, for vehicle development. The CAD models are configured from the SysML model.

Procedia CIRPVol. 136
Ostfalia University of Applied Sciences (DE), Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR) (DE)
Affordable and clean energy
Openalex Percentile: Top 68%
Railway Systems and Energy Efficiency
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