Determine the techno-economic impact of individual vehicle technologies with BEAN.

Benefit analysis (BEAN) has been developed to quantify the impact of individual component technologies on the full life-cycle cost of light duty passenger cars, as well as commercial vehicles. Developed by the Argonne National Laboratory Vehicle & Systems Mobility Group (VMS), BEAN builds on high-fidelity vehicle model information (e.g., component power, energy, etc.) in Autonomie, our state-of-the-art vehicle energy consumption, performance, and cost system simulation tool, to estimate the vehicle manufacturing cost, manufacturer’s suggested retail price (MSRP), and overall costs. Other estimated costs include total cost of ownership (TCO), comparative cost metric (CCM), and levelized cost of driving (LCOD).

BEAN highlights include:

  • Integration with more than 5,000 individual Autonomie vehicles models;
  • Multiple economic analysis metrics (e.g., TCO, LCDO, CCM, etc);
  • Full access to any cost inputs at the component (e.g., battery cost) and operation (e.g., electricity cost, vehicle miles travelled, etc.); and
  • Automated post-processing and technology comparisons, including uncertainties.

Application examples include:

  • Economic impact comparison of a wide range of technologies, including hybrid electric vehicles (HEVs), plug-in hybrid electric vehicles (PHEVs), battery electric vehicles (BEVs), and fuel cell electric vehicles (FCEVs), across more than 30 vehicle classes over multiple timeframes, including uncertainties;
  • Component technical targets (e.g., battery $/kilowatt hour) determination to reach cost parity with other technologies; and
  • Trade-off and uncertainty analysis performance.

View and download BEAN examples for light-duty vehicles and medium- and heavy-duty vehicles.

For more information on the related study assumption, methodology, and results, please visit U.S. DOE VTO/HFTO R&D Benefits

Questions?

Contact us to learn more about BEAN, request a demo, and explore related partnership opportunities.