The most important factors affecting the performance of electric driven vehicles are battery technology and movement resistance. Although many researches have been made on vehicle performance of battery technologies, the number of researches on the effect of movement resistances (rolling resistance, air resistance, road gradient resistance, transmission resistance) and accessory losses on vehicle performance is quite limited. In this study, modelling of a passenger-type fuel cell vehicle has been made on ADVISOR (ADVISOR-Advanced Vehicle Simulator) simulation programme, and effect of movement resistances and accessory losses on battery performance has been examined. At the end of the simulation, it has been determined that (State of Charge) value of the tire with low rolling resistance according to NEDC (New European Driving Cycle) driving cycle is higher than the tire with high rolling resistance by 2.2%; and that decrease of by two times has resulted in a decrease in value by 1.3%. When vehicle-battery performance of transmission selection has been examined, it has been observed that higher friction loss occurred in 5-speed gearbox due to the differences between the gear rations of the gearbox, and average value decreased by 1.4% due to the fact that accessory load was 1000 W instead of 700 W. During simulations made with relation to the incline of the road, usage of tire with low rolling resistance on road incline (ascend) of 5% resulted in a higher value of by 2% and on road incline (descend) of 5%, usage of tire with low rolling resistance resulted in a higher value of by 2.2%. © 2022, TUBITAK. All rights reserved.


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    Titel :

    Investigation of the Effect of Movement Resistances on Battery Performance of a Passenger-Type Fuel Cell Vehicle Using Advisor Software ; Binek Tipi Yakıt Pilli Bir Aracın Hareket Dirençlerinin Batarya Performansına Etkisinin Advisor Yazılımı Kullanılarak İncelenmesi



    Erscheinungsdatum :

    2022-01-01


    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Klassifikation :

    DDC:    629



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