A hybrid vehicle, has a traction battery (Fig.1,106), an electric traction motor (Fig.1,108) and a combustion engine (Fig.1,104). The system involves prediction means 208 for predicting power use of the vehicle over a journey or trip; and scheduling means 210 for, in dependence on the prediction, scheduling when during the journey the vehicle is to be controlled in a first mode, and when during the journey the vehicle is to be controlled in a second mode. The first mode may be a charge depletion mode, permitting increased depletion of traction battery energy than is permitted by the second mode. The scheduling means is configured to require the traction battery energy or State of Charge (SOC) to be lower at the end of the journey relative to the traction battery energy at the beginning of the journey. The scheduling means may determine a threshold based on the prediction, around which the vehicle switches from the first and second modes. The threshold may be based on driving environment, speed etc. The journey may be split into several segments for prediction purposes.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Whole journey predictive energy optimisation


    Erscheinungsdatum :

    31.01.2018


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Whole journey predictive energy optimisation

    ALEX PLIANOS / PAVAN VENKATESH KUMAR / LAURENTIU ANTONIN CANCEL et al. | Europäisches Patentamt | 2020

    Freier Zugriff

    Predictive whole vehicle energy management system

    ZHAO AIJUAN | Europäisches Patentamt | 2021

    Freier Zugriff

    The 'whole journey': experiences and perceptions of personal security

    Stafford, J. | British Library Conference Proceedings | 1998



    Harnessing the whole team to reduce journey times

    Winterburn, M. / Institution of Mechanical Engineers; Railway Division | British Library Conference Proceedings | 1996