In this paper a novel method based on linear prediction technique is proposed for short term power demand forecasting in light and heavy-duty electric vehicles for improvement in the overall efficiency of the vehicle. The paper also utilizes filtering of unnecessary information which would have been a major bottleneck in improving the method's accuracy. The predicted demand function is fed to a wavelet function, which apportions the share between the battery and the ultracapacitor of the considered energy management system. The proposed method is validated with empirical power demand data obtained from on road tests of both light and heavy-duty electric vehicles through numerical investigations.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Short term power demand forecasting in light- and heavy-duty electric vehicles through linear prediction method




    Publication date :

    2012-06-01


    Size :

    729788 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English





    Analyzing Residential Charging Demand for Light-Duty Electric Vehicles in Colorado

    Liu, Zhaocai / Alexeenko, Polina / Bruchon, Matthew et al. | IEEE | 2024


    Electric powertrain system for heavy duty vehicles

    SLOAN TODD F / FORSBERG CHRIS / COUPAL-SIKES ERIC M et al. | European Patent Office | 2023

    Free access

    ELECTRIC POWERTRAIN SYSTEM FOR HEAVY DUTY VEHICLES

    SLOAN TODD F / FORSBERG CHRIS / COUPAL-SIKES ERIC M et al. | European Patent Office | 2023

    Free access