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Applications

Rail: Passenger and Freight Transport

VIRTUAL VEHICLE drives the railway industry forward.

In passenger transport, we focus our research on the optimization, simulation and control of vehicle and infrastructure components and the intelligent maintenance of rails and switch systems.

In freight transport, automation technology like “Digital Automatic Coupling” plays a key role in increasing efficiency.

We support our customers in many areas, including method development, model-based and data-driven diagnostic procedures, monitoring of chassis components and route monitoring.

Central Research Topics

  • Shorten innovation cycles through digitalization
  • Drive forward research for implementation
  • Maximize reliability of the rail system through intelligent and reliable algorithms
  • To contribute to a single European railroad area

Solutions

Monitoring & Diagnosis

 

Methods development

 

Model-based and data-driven diagnostic methods

 

Monitoring of running gear components

 

Predictive Maintenance (PdM)

Digital Twin Networks

 

Illustration of system interactions in IT platforms

 

Executable tool chains

 

Properties, behavior and history over the lifecycle

 

User-specific analysis and forecasting applications

Vehicle Dynamics & Operation Analysis

Running technology know-how

 

Overall system understanding of vehicle and route

 

Modeling and parameter determination

 

Virtual vehicle approval

 

Probalistic design

Wheel-Track-Interaction

 

Wheel-track-interaction and traction phenomena

 

Profile development

 

Damage to wheel and rail surfaces

 

Track setting and optimization

 

Noise and vibrations

Green Digital Mobility

The Railroad Plays a Prominent Role as a Fundamental Element of Green Digital Mobility.

The research contributes to the optimization of the rail system, improves vehicle dynamics and enhances the overall passenger experience. As a result, rail capacity can be doubled and market uptake can be positively influenced, taking life cycle costs into account.

In addition to our core expertise, topics such as sensor technology and electrification, ATO, human factors research and systems for the end-to-end networking of component and process data are playing an increasingly important role.

Green Digital Mobility

Wheel-Rail-Interaction

Effective wheel-rail-interaction is crucial for safe and efficient railway operations. Predictive maintenance, using data analytics and sensors, allows proactive monitoring of factors like wheel wear and track conditions. This approach prevents derailments, reduces downtime, and optimizes maintenance schedules, ensuring safer and more cost-effective railway networks.

 

At VIRTUAL VEHICLE, we are researching simulation solutions to optimize predictive maintenance and thus predict wheel wear and deterioration of the track condition.

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Railway Digital Twin Networks

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GRITLAB – Graz Railway Intelligence Tech Lab | 2024

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Rail Systems

References

Current
Projects

SMACS

In diesem Projekt wurde die Verwendbarkeit von Second-Life-Batterien für die stationäre Speicherung untersucht. Wir entwickelten ein Design-Tool zur Auswahl geeigneter Batteriezellen oder -module auf der Grundlage von Alterungsmechanismen.

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SIMBAT

This project developed a multi-physics simulation model to evaluate thermal safety in vehicles.

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LEWE

Low-noise and low-vibration turnout

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PREVENT+

This project focuses on the simulation framework for particle-gas flow inside a battery pack. ​

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LIBERTY

LIghtweight Battery System for Extended Range at Improved SafeTY

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Use Cases

Further Topics

Future car

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