Electric vehicles (EVs) have been recognized as a practical solution to several environmental and energy conservation problems. The mileage per charge of EVs, however, is lower than the mileage of internal combustion engine vehicles (ICEVs). In this study, a range extension autonomous driving (READ) system that considers the traffic signal information is proposed. The proposed system optimizes the velocity profile of autonomous driving based on the precise loss models of vehicles. We conducted simulations and experiments that prove the effectiveness of the proposal in terms of mileage per charge.


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    Titel :

    Range Extension Autonomous Driving for Electric Vehicles Based on Optimization of Velocity Profile Considering Traffic Signal Information


    Weitere Titelangaben:

    Power Electronics,Power Systems


    Beteiligte:
    Suzuki, Tatsuya (Herausgeber:in) / Inagaki, Shinkichi (Herausgeber:in) / Susuki, Yoshihiko (Herausgeber:in) / Tran, Anh Tuan (Herausgeber:in) / Fujimoto, Hiroshi (Autor:in) / Yoshida, Hideki (Autor:in) / Ri, Yoshi (Autor:in)


    Erscheinungsdatum :

    22.01.2020


    Format / Umfang :

    18 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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