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Autonomie

Autonomie is a most powerful and robust system simulation tool for vehicle energy consumption and performance analysis. Developed in collaboration with General Motors, Autonomie is a MATLAB©-based software environment and framework for automotive control-system design, simulation, and analysis. Its application covers energy consumption, performance analysis throughout the entire vehicle development process (e.g., MIL, HIL, SIL…) by leveraging its Plug-and-Play Powertrain and Vehicle Model Architecture and Development Environment.

Benefits

  • Complete set of turnkey vehicles for wide range of vehicle classes (light duty to heavy duty) and powertrain configurations (conventional, start-stop, HEVs, PHEVs, BEVs, FHEVs…)
  • Validated low level and high level control algorithms from APRF dynamometer test data
  • Link/integrate third party tools for
    • Plant models (i.e., LMS AMESim, GTPower, SimScape, Modelica…)
    • Economic and environmental models (i.e. component cost, LCOD, GREET…)
    • Processes (i.e., optimization, parallel and distributed computing, V2X…)
    • Model and data management
  • Support “industrialization” of models, processes and post-processing through current standards (e.g., FMI)
  • Fully customizable: architecture, models, configurations, use cases, post-processing… (All models and controls are open)
  • Post-processing capabilities

Applications

Autonomie is used to assess the energy consumption and cost of multiple advanced powertrain technologies, including:

  • Impact of component sizing for different powertrain technologies as well as to define the component requirements (e.g., power, energy) to maximize fuel displacement for a specific application
  • Impact of component technologies (e.g., advanced transmissions, engine, batteries…)
  • Impact of powertrain configurations (i.e., conventional vs HEVs vs PHEVs vs BEVs vs FCHEVs…)
  • Impact of vehicle level control based on different approaches, from instantaneous optimization, rule-based optimization, heuristic optimization and route-based control.
  • Energy impact at the transportation system level when combined with POLARIS

 
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