Simulate state-of-the-art vehicle energy consumption, performance, and cost with Autonomie.

Autonomie is a state-of-the-art vehicle system simulation tool used to assess the energy consumption, performance, and cost of multiple advanced vehicle technologies across classes (from light- to heavy-duty), powertrains (from conventional to hybrid electric vehicles [HEVs], plug-in hybrid electric vehicles [PHEVs], battery electric vehicles [BEVs], and fuel cell electric vehicles [FCEVs]), components, and control strategies. Developed by the Argonne National Laboratory Vehicle & Systems Mobility Group (VMS), Autonomie is the only commercial software to include vehicle control algorithms developed from vehicle dynamometer test data across dozens of powertrain configurations. Additionally, Autonomie provides full access to the component models and control algorithms—users can create or update vehicles, components, and control. Multiple versions of Autonomie have been developed for various stakeholders as follows:

Autonomie Versions

Autonomie highlights include:

• More than 100 ready-to-go vehicle models from light- to heavy-duty, with control algorithms;
• Open and fully customizable code;
• Plant and control models (Matlab/Simulink/StateFlow);
• Architectures (metadata);
• Scenarios and test cases (metadata/Matlab);
• Pre-defined powertrain configurations for most configurations currently in the market;
• Hundreds of current and future performance data (e.g., engine, transmissions, energy storage, etc.)
• Powertrain controllers developed and calibrated using vehicle dynamometer test data;
• Worldwide test procedure and more than 1,000 real-world driving cycles available;
• Integration with third-party tools;
• Large scale simulation through automated model building (patent); and
• High-performance computing (HPC) compatible.

Application examples include:

• Powertrain electrification (e.g., HEVs, PHEVs, BEVs, FCEV);
• Component technology (e.g., new engines, electric machine, transmission, fuel cell, etc.);
• Component technical targets;
• Powertrain sizing (e.g., trade-offs between fuel cell and battery sizing);
• Vehicle powertrain control (e.g., XEV power split, shifting algorithm, etc.)
• Energy impact at the transportation system level when combined with POLARIS, our high-fidelity predictive transportation system model.