Plug-and-play component and vehicle model architecture and development environment


  • Advanced powertrain simulation (fuel consumption and performance)
  • Advanced component simulation
  • Virtual engineering (SIL, HIL, RCP, CIL)
  • Hundreds of predefined advanced powertrain models (e.g., conventional, HEV, PHEV, EV, FC)
  • Customizable plant and controllers
  • Customizable software processes (e.g., drive cycles, optimization) and configurations


Autonomie is a plug-and-play powertrain and vehicle model architecture and development environment that supports the rapid evaluation of new powertrain and propulsion technologies for improving fuel economy through virtual design and analysis in a math-based simulation environment. Generic processes have been developed for all the steps of the virtual engineering process from MIL to SIL, HIL, RCP, and Component-in-the-Loop (CIL). Autonomie is applied by OEMs for different applications from low-level control development (e.g., engine ECU) to full vehicle-level analysis (e.g., fuel economy).

Autonomie is designed for plug-and-play operation—rapid and easy integration of models—with varying levels of detail (low to high fidelity) and abstraction (from subsystems to systems and entire architectures) as well as processes (e.g., calibration, validation). All features are configurable and nonrestrictive to support plug-and-play integration of custom or proprietary models, architectures, and processes for the end user and to support future technology.

The models developed in Autonomie are developed using Simulink® and Stateflow® from MathWorks. The algorithm used to automatically build the entire models based on the user's selections from the graphical user interface is based on MATLAB®.

Argonne National Laboratory

9700 S Cass Ave
Rm C265
Argonne, IL 60439
Tel: 630-252-7261
Fax: 630-252-3443

Required Products


  • Windows


  • Consulting
  • E-mail
  • Fax
  • On-site assistance
  • Telephone
  • Training

Product Type

  • Modeling and Simulation Tools


  • Control Systems
  • Data Analysis and Statistics
  • Real-Time Systems
  • System Modeling and Simulation
  • Component and Vehicle Development


  • Aerospace and Defense
  • Automotive