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Autonomie Rail

Model-based energy, performance, and controls simulation for advanced locomotive technologies

Built on Argonne’s Autonomie framework, Autonomie Rail provides a physics-based MBSE environment for evaluating the energy consumption and performance of a train composed of diesel-electric, battery-electric, hybrid, hydrogen, and fully electric locomotives, along with various types of railcars. It combines forward-looking train simulation, modular powertrain models, and controls development to support technology assessment, system design, and corridor-scale analysis.

Forward-looking physics-based model
Bond graph modularity
Controls evaluation
Route-based duty cycles
Component sizing & optimization
Network-level studies

Designed for technology evaluation, infrastructure planning, and rail technology advancement studies

Autonomie Rail Core Capabilities

Advanced powertrain modeling

Assess diesel-electric, battery-electric, hybrid, hydrogen fuel cell, hydrogen ICE, biofuel, and catenary-enabled architectures.

Energy & Performance

Quantify fuel use, electricity demand, regenerative braking potential, power demand, and route-based performance.

Controls development

Develop and evaluate energy management and propulsion strategies using a forward-looking simulation approach.

Component to corridor

Run single-train studies or scale up to corridor and network analyses for scenario screening and planning.

Technology coverage

  • Diesel-electric and baseline locomotive studies
  • Battery-electric locomotives and hybrid consists
  • Integrated hybrid locomotive concepts
  • Hydrogen fuel cell and hydrogen ICE pathways
  • Biofuel and alternative-fuel assessments
  • Continuous/discontinuous catenary scenarios

Typical applications

  • Compare technology pathways for freight and passenger rail
  • Screen electrification and catenary deployment strategies
  • Estimate route-level fuel savings and energy demand
  • Support techno-economic and infrastructure studies
  • Evaluate operational impacts of emerging locomotive systems

What makes Autonomie Rail application unique?

  • Forward-looking, physics-based simulation capturing real system dynamics
  • Bond graph-based multi-physics modeling enabling modularity and reuse
  • Plug-and-play architecture for rapid configuration of technologies
  • Integration from component-level design to system and network-level analysis
  • Scalable framework supporting large simulation studies