Abstract Compared with real-time control, global optimization has a great advantage to improve the fuel economy due to considering the whole drive condition in advance. However, on-board controller doesn’t support the global optimization with a large amount of calculation. Remote data communicating technology provides a platform to make global optimization applied to on-board control at a pre-known driving cycle. In this paper, a route-based optimal control strategy for the real-time energy management of parallel hybrid electric vehicles is developed. The proposed control strategy employs computers to optimize the power-split and engine stop-start control based on the minimum principle at a predicted driving cycle. Guiding controller provides real-time control with CAN bus communication. The experiment results prove the proposed strategy has a 10% fuel economy improvement than rule-based control strategy.


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    Title :

    Route-based adaptive optimization for energy management of hybrid electric vehicles


    Contributors:
    Yan, B. (author) / Hu, Y. Q. (author) / Yan, T. (author) / Ma, P. P. (author) / Yang, L. (author)

    Published in:

    Publication date :

    2014-11-26


    Size :

    8 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




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