Vehicle Energy Consumption and Cost
Determine the impact of advanced powertrain and component technologies on energy consumption with Autonomie, RoadRunner, and POLARIS.
For more than 20 years, the Argonne National Laboratory Vehicle & Mobility Systems Group (VMS) has been at the forefront of efforts to evaluate the impact of technologies on vehicle energy consumption, performance, and cost. Working closely with the U.S. Department of Energy (DOE), U.S. Department of Transportation (DOT), national laboratories, research organizations, and industry partners, VMS has developed and validated vehicle models for a wide variety of powertrains.
For example, at the individual vehicle level, Autonomie, Argonne’s state-of-the-art vehicle energy consumption, performance, and cost system simulation tool, provides a unique set of full vehicle models, including controls, across the majority of powertrain and component technologies available in a market, allowing you to quantify the energy and cost impact on vehicle driving cycles. Over the past decade, Autonomie applications have been expanded from light-duty passenger to include medium- and heavy-duty on-road, as well as off-road, applications.
With the advent of connectivity and automation, combined with heightened knowledge of the environment, VMS has developed RoadRunner to quantify the impact of energy-efficient vehicle and powertrain control for different routes. RoadRunner enables the study of a wide range of scenarios, including eco-signal and eco-driving, both in simulation and in XIL.
Since energy consumption is highly dependent not only on vehicle technology but also on vehicle usage, the U.S. Department of Energy (DOE) Systems and Modeling for Accelerated Research in Transportation (SMART) Mobility workflow has been developed to assess the impact of advanced technologies at the transportation system level utilizing POLARIS route information. In addition to modeling vehicle operating conditions, POLARIS measures the impact on the ecosystem in which the vehicles operate (e.g., down time at charging stations).
Energy and Cost Impacts Estimated from Individual Vehicle to Entire Transportation System