Abstract The efficiency of a Hybrid Electric Vehicle (HEV) depends significantly on the quality of the implemented Energy Management Strategy (EMS). To achieve optimal efficiency for different driving situations, an adaption of the EMS regarding the changing boundary conditions e.g. payload, driver behaviour, geodetical data, etc. is recommended. This paper presents an approach for an adaptive EMS based on the Equivalent Fuel Consumption Minimization Strategy (ECMS) for a heavy-duty truck with a P2- Hybrid topology. The first approach to realize an adaptive ECMS takes a variation of the payload into account. The presented Adaptive-ECMS (A-ECMS) is compared to a simple Rule Based (RB) Strategy. The evaluation criteria for both EMS is an equivalent fuel mass reduction potential. In contrast to previous research, this paper considers not only a driving cycle that is used for chassis dynamometer testing but also a real driving cycle from a measurement campaign. It can be shown that the A-ECMS with only one adaption parameter outperforms the simple RB Strategy by up to 1.9 % regarding equivalent fuel consumption in the driving cycle used for chassis dynamometer testing. In the real driving cycle the reduction of equivalent fuel mass realised by the A-ECMS amounts up to 0.43 %.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Adaptive energy management strategy for a heavy-duty truck with a P2-hybrid topology


    Contributors:


    Publication date :

    2018-01-01


    Size :

    15 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




    Heavy Duty Electric Hybrid Truck

    Kondo, Y. / Takahashi, K. | British Library Conference Proceedings | 1996


    Multi-parametric programming-based energy control strategy for parallel hybrid heavy-duty truck

    Agostino,S. / Cheli,F. / Mapelli,F.L. et al. | Automotive engineering | 2016


    Self-adaptive suspension method for new energy heavy-duty truck

    WEI QINZHOU / FU BING / LIU ZHIXIA et al. | European Patent Office | 2024

    Free access

    HEAVY-DUTY LIFT TRUCK

    HEGEWALD MIKE / THEISSEN LARS MICHAEL / ISHORST HEINZ | European Patent Office | 2019

    Free access

    Heavy-duty lift truck

    HEGEWALD MIKE / THEIΒEN LARS MICHAEL / ISHORST HEINZ | European Patent Office | 2019

    Free access