A powertrain of a hybrid electric vehicle (HEV) is controlled. A first value α1 and a second value α2 are determined. α1 represents a proportion of an instantaneous power requirement (Preq) supplied by an engine of the HEV. α2 controls a recharging rate of a battery of the HEV. A determination is performed, based on α1 and α2, regarding how much engine power to use (Peng) and how much battery power to use (Pbatt). Peng and Pbatt are sent to the powertrain.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Hybrid vehicle fuel efficiency using inverse reinforcement learning


    Beteiligte:
    GUPTA RAKESH (Autor:in) / RAMACHANDRAN DEEPAK (Autor:in) / VOGEL ADAM C (Autor:in) / RAUX ANTOINE (Autor:in)

    Erscheinungsdatum :

    28.07.2015


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

    IPC:    B60W CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION , Gemeinsame Steuerung oder Regelung von Fahrzeug-Unteraggregaten verschiedenen Typs oder verschiedener Funktion / B60L PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES , Antrieb von elektrisch angetriebenen Fahrzeugen / G01C Messen von Entfernungen, Höhen, Neigungen oder Richtungen , MEASURING DISTANCES, LEVELS OR BEARINGS



    Balancing Sample Efficiency and Suboptimality in Inverse Reinforcement Learning

    Angelo Damiani / Giorgio Manganini / Alberto Maria Metelli et al. | BASE | 2022

    Freier Zugriff

    Multiagent modeling of pedestrian-vehicle conflicts using Adversarial Inverse Reinforcement Learning

    Nasernejad, Payam / Sayed, Tarek / Alsaleh, Rushdi | Taylor & Francis Verlag | 2023


    PERSONALIZED VEHICLE OPERATION FOR AUTONOMOUS DRIVING WITH INVERSE REINFORCEMENT LEARNING

    ZHAO ZHOUQIAO / WANG ZIRAN / GUPTA ROHIT et al. | Europäisches Patentamt | 2023

    Freier Zugriff


    Fuel cell hybrid electric vehicle energy management method based on deep reinforcement learning

    MA YAN / LUAN YU | Europäisches Patentamt | 2024

    Freier Zugriff