This paper explains a novel adaptive cruise control (ACC) driving with coasting to improve fuel economy. The purpose is to reduce the energy loss with predictive control when the preceding vehicle decelerates, while acceptable driving feeling is guaranteed. To achieve this goal, prediction of the preceding vehicle behavior is introduced to determine the ego vehicle behavior realized by using inverse reinforcement learning (IRL). In addition, the evaluation function is designed to determine the best coasting timing by balancing longer coasting time and acceptable driving feeling, while the ego vehicle speed is controlled with a rule-based control at a non-coasting period. The performance of this control strategy has been validated with simulation, showing 9.7% fuel economy improvement on average for hybrid electric vehicles in the case of following the preceding vehicle before an intersection. It has also been verified with an actual test vehicle, where a high level balance between efficiency and acceptable feeling is realized.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Real-Time Operational Driving Energy Management with Stochastic Vehicles Behavior Prediction


    Beteiligte:


    Erscheinungsdatum :

    19.10.2020


    Format / Umfang :

    1892328 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    REAL-TIME OPERATIONAL DRIVING ENERGY MANAGEMENT WITH STOCHASTIC VEHICLES BEHAVIOR PREDICTION

    Itoh, Yutaro / Nanjo, Hiroyuki / Higashitani, Mitsuharu et al. | British Library Conference Proceedings | 2020


    Real-time perception adjustment and driving adaption based on surrounding vehicles' behavior for autonomous driving vehicles

    TAO JIAMING / LI DONG / JIANG YIFEI et al. | Europäisches Patentamt | 2020

    Freier Zugriff

    REAL-TIME PERCEPTION ADJUSTMENT AND DRIVING ADAPTION BASED ON SURROUNDING VEHICLES' BEHAVIOR FOR AUTONOMOUS DRIVING VEHICLES

    TAO JIAMING / LI DONG / JIANG YIFEI et al. | Europäisches Patentamt | 2019

    Freier Zugriff

    OPERATIONAL DESIGN DOMAIN MANAGEMENT FOR VEHICLES HAVING AUTOMATED DRIVING SYSTEMS

    FU JUNSHENG / STENBORG ERIK / GARCIA JAIME GABRIEL | Europäisches Patentamt | 2024

    Freier Zugriff

    OPERATIONAL DESIGN DOMAIN MANAGEMENT FOR VEHICLES HAVING AUTOMATED DRIVING SYSTEMS

    FU JUNSHENG / STENBORG ERIK / GARCIA JAIME GABRIEL | Europäisches Patentamt | 2024

    Freier Zugriff