Connectivity and automation provide the potential to use information about the environment and future driving to minimize energy consumption. Aerodynamic drag can also be reduced by close-gap platooning using information from vehicle-to-vehicle communications. In order to achieve these goals, the designers of control strategies need to simulate a wide range of driving situations in which vehicles interact with other vehicles and the infrastructure in a closed-loop fashion. RoadRunner is a new model-based system engineering platform based on Autonomie software, which can collectively provide the necessary tools to predict energy consumption for various driving decisions and scenarios such as car-following, free-flow, or eco-approach driving, and thereby can help in developing control algorithms. In the first part of this paper, control algorithms for adaptive cruise control and cooperative adaptive cruise control inspired by the literature are implemented into RoadRunner, for vehicle model simulations of longitudinal movements in the environment considering real route information. In the second part of the paper, we present the validation of three heavy-duty truck models under a platooning scenario on a freeway, based on test data provided by Lawrence Berkeley Laboratory. RoadRunner builds the Matlab/Simulink diagram of the scenario, including the information flows between truck vehicle models. After the simulation, the results showed that discrepancies in average inter-vehicle gap were within 4% compared to test data, while many of the operational signals, including the fuel consumption, were well matched.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Validating Heavy-Duty Vehicle Models Using a Platooning Scenario


    Additional title:

    Sae Technical Papers


    Contributors:

    Conference:

    WCX SAE World Congress Experience ; 2019



    Publication date :

    2019-04-02




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




    Validating Heavy-Duty Vehicle Models Using a Platooning Scenario

    Kim, Namdoo / Karbowski, Dominik / Rousseau, Aymeric | British Library Conference Proceedings | 2019


    A Distributed Framework for Coordinated Heavy-Duty Vehicle Platooning

    Larson, Jeffrey / Liang, Kuo-Yun / Johansson, Karl H. | IEEE | 2015



    Look-ahead cruise control for heavy duty vehicle platooning

    Alam, Assad / Martensson, Jonas / Johansson, Karl H. | IEEE | 2013


    Disturbance observer approach for fuel-efficient heavy-duty vehicle platooning

    Na, Gyujin / Park, Gyunghoon / Turri, Valerio et al. | Taylor & Francis Verlag | 2020