This study investigates using driver prediction to anticipate energy usage over a 160-meter look-ahead distance for a series, plug-in, hybrid-electric vehicle to improve conventional thermostatic powertrain control. Driver prediction algorithms utilize a hidden Markov model to predict route and a regression tree to predict speed over the route. Anticipated energy consumption is calculated by integrating force vectors over the look-ahead distance using the predicted incline slope and vehicle speed. Thermostatic powertrain control is improved by supplementing energy produced by the series generator with regenerative braking during events where anticipated energy consumption is negative, typically associated with declines or decelerations. Matlab and Simulink (Colgren, 2007) are used both to run the prediction and optimization algorithms as well as simulate a rear-wheel drive, series plug-in, hybrid-electric vehicle, a city road-network, and multiple simulated vehicle drivers each with different driving characteristics. Initial results show an improvement of 8.4% in petroleum energy consumption over a non-predictive thermostatic propulsion controller.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Improving Fuel Economy of Thermostatic Control for a Series Plugin-Hybrid Electric Vehicle Using Driver Prediction


    Additional title:

    Sae Technical Papers


    Contributors:

    Conference:

    SAE 2016 World Congress and Exhibition ; 2016



    Publication date :

    2016-04-05




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




    Improving Fuel Economy of Thermostatic Control for a Series Plugin-Hybrid Electric Vehicle Using Driver Prediction

    Magnuson, Brian / Mallory, Michael Ryan / Fabien, Brian et al. | British Library Conference Proceedings | 2016


    Electric Traction Motors for Cadillac CT6 Plugin Hybrid-Electric Vehicle

    Rahman, Khwaja M. / Savagian, Peter / Dawsey, Robert et al. | SAE Technical Papers | 2016


    System for charging a battery electric vehicle or a plugin hybrid vehicle using a fuel cell

    MARTIN ALAN B / KIRKLIN MATTHEW C / MANN MARGARITA M et al. | European Patent Office | 2024

    Free access

    ADAPTIVE POWERTRAIN CONTROL FOR PLUGIN HYBRID ELECTRIC VEHICLES

    KEDAR-DONGARKAR GURUNATH / WESLATI FEISEL | European Patent Office | 2020

    Free access

    ADAPTIVE POWERTRAIN CONTROL FOR PLUGIN HYBRID ELECTRIC VEHICLES

    KEDAR-DONGARKAR GURUNATH / WESLATI FEISEL | European Patent Office | 2018

    Free access