This paper presents a new model predictive control system for hybrid electric vehicle platooning using route information to improve fuel economy. The new features of this study are as follows. First, a system for hybrid electric vehicle platooning has been developed considering varying the desired vehicle speed. Second, a general model of road slope in a vehicle platoon is developed. Third, the effect of prediction horizon and sampling interval on battery efficiency is analyzed. The model predictive control problem is solved using a discrete numerical computation method, the continuation and generalized minimum residual method. Computer simulation results reveal improvements in fuel economy using the proposed control method.


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    Title :

    Model predictive control for hybrid electric vehicle platooning using route information


    Contributors:
    Yu, Kaijiang (author) / Liang, Qing (author) / Yang, Junqi (author) / Guo, Yanan (author)


    Publication date :

    2016-08-01


    Size :

    13 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English