Argonne’s High-Fidelity Simulation Tools and Anything-In-the-Loop (XIL) Test Workflow for Assessing Energy Impacts in Multi-Intelligent Vehicles

June, 2, 2024 | 3 hours | IEEE IV 2024

Join us for a dynamic tutorial showcasing Argonne’s cutting-edge simulation tools and XIL test workflow. Featuring Autonomie, a decade-long developed vehicle powertrain simulation tool, and a new multi-vehicle simulation tool for route-based scenarios, it aims to develop and validate energy-efficient controls. We’ll introduce an advanced human driver model to enhance the understanding of intelligent vehicles. Additionally, Argonne’s XIL workflow validates controller functionality and assesses energy impacts in real vehicles on a chassis dynamometer, surpassing pure simulations.

Key words: CAVs, Human driver model, Autonomie, Multi-vehicle simulation tool, XIL workflow

Recommend Audiences

• Optimal control developers for intelligent vehicles seeking energy-efficient powertrain validation.
• Researchers analyzing human drivers or CAVs in diverse scenarios.
• Individuals verifying control or component performance for CAVs across various test platforms.

Sessions

Overview: Introduction to Argonne’s Transportation and Power Systems additional info.

Explore Argonne’s 20-year legacy in Transportation and Power Systems, featuring Autonomie, an advanced vehicle powertrain simulation tool, the Downloadable Dynamometer Database (D³), and etc.

Session 1: Route-based Multi-Vehicle Simulation Tool additional info.

Argonne introduces a dedicated route-based multi-vehicle simulation tool, RoadRunner. This tool, integrating high-fidelity powertrain models, CAV technology, route-based scenarios, and more, will be explored in this session, highlighting its diverse features and practical use cases through a user-friendly graphical interface.

Session 2: A Human Driver Model as Key Component additional info.

This session focuses on developing advanced human driver models, covering real-world driving data analysis, introducing validated models, and presenting baseline use cases to illustrate diverse human driving behaviors within the multi-vehicle simulation tool.

Session 3: XIL Test Workflow - A Swift transition from Simulation to Experiment additional info.

This session guides you through seamless processes, integrating control models from simulation to experimental setups, ensuring thorough validation of functionality, performance, and energy impacts. The automated workflow, bridging simulations and real-world conditions, employs virtual environmental models for efficient testing, demonstrating significant achievements in energy conservation.

Speakers

Namdoo Kim ([email protected]) - Principal System Analysis Engineer in Vehicle & Mobility Systems Department of Transportation and Power Systems Division at Argonne National Laboratory

Jongryeol Jeong ([email protected]) - Principal Research Engineer in Vehicle & Mobility Systems Department of Transportation and Power Systems Division at Argonne National Laboratory

Jihun Han ([email protected]) - Principal Research Engineer in Vehicle & Mobility Systems Department of Transportation and Power Systems Division at Argonne National Laboratory

Miriam Di Russo ([email protected]) - Research Engineer in Advanced Mobility & Grid Integration Technology Department of Transportation and Power Systems Division at Argonne National Laboratory