This paper presents experimental results that validate eco-driving and eco-heating strategies developed for connected and automated vehicles (CAVs). By exploiting vehicle-to-infrastructure (V2I) communications, traffic signal timing, and queue length estimations, optimized and smoothed speed profiles for the ego-vehicle are generated to reduce energy consumption. Next, the planned eco-trajectories are incorporated into a real-time predictive optimization framework that coordinates the cabin thermal load (in cold weather) with the speed preview, i.e., eco-heating. To enable eco-heating, the engine coolant (as the only heat source for cabin heating) and the cabin air are leveraged as two thermal energy storages. Our eco-heating strategy stores thermal energy in the engine coolant and cabin air while the vehicle is driving at high speeds, and releases the stored energy slowly during the vehicle stops for cabin heating without forcing the engine to idle to provide the heating source. To test and validate these solutions, a power-split hybrid electric vehicle (HEV) has been instrumented for cabin thermal management, allowing to regulate heating, ventilation, and air conditioning (HVAC) system inputs (cabin temperature setpoint and blower flow rate) in real-time. Experiments were conducted to demonstrate the energy-saving benefits of eco-driving and eco-heating strategies over real-world city driving cycles at different cold ambient temperatures. The data confirmed average fuel savings of 14.5% and 4.7% achieved by eco-driving and eco-heating, respectively, offering a combined energy saving of more than 19% when comparing to the baseline vehicle driven by a human driver with a constant-heating strategy.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Experimental Validation of Eco-Driving and Eco-Heating Strategies for Connected and Automated HEVs


    Additional title:

    Sae Technical Papers


    Contributors:

    Conference:

    SAE WCX Digital Summit ; 2021



    Publication date :

    2021-04-06




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




    Experimental Validation of Eco-Driving and Eco-Heating Strategies for Connected and Automated HEVs

    Amini, Mohammad Reza / Hu, Qiuhao / Wang, Hao et al. | British Library Conference Proceedings | 2021


    Predictive Energy Optimization for Connected and Automated HEVs

    Plianos, Alexandros / Hancock, Matthew / Jokela, Tommi | SAE Technical Papers | 2018


    Predictive Energy Optimization for Connected and Automated HEVs

    Plianos, Alexandros / Jokela, Tommi / Hancock, Matthew | British Library Conference Proceedings | 2018


    Thermal Responses of Connected HEVs Engine and Aftertreatment Systems to Eco-Driving

    Amini, Mohammad Reza / Feng, Yiheng / Wang, Hao et al. | IEEE | 2019


    Power Electronics in HEVs

    Mi, Chris / Masrur, M. Abul | Wiley | 2017