To improve the economy performance of plug-in hybrid electric transport vehicle (PHETV) on urban roads, a pseudo-spectral based speed planning method is proposed for connected vehicles to assist driver to pass continuous intersections with fewer stop-and-go behaviors. Firstly, the effective green light time is estimated based on the traffic flow obtained by V2I. Secondly, the actual vehicle load is identified through neural network which is trained by the historical data. Finally, the time-domain optimal control problem with piecewise head and tail constraints is constructed and solved by the pseudo-spectral method to minimize the travelling energy consumption. Simulation results show that the proposed control strategy can make fuel consumption of PHETV reduce by 6.71% compared with traditional method.


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    Titel :

    Research on Energy-Saving Driving for Transport Vehicles Considering Actual Load


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Wang, Wuhong (Herausgeber:in) / Chen, Yanyan (Herausgeber:in) / He, Zhengbing (Herausgeber:in) / Jiang, Xiaobei (Herausgeber:in) / Li, Chunming (Autor:in) / Zhang, Tao (Autor:in) / Sun, Xiaoxia (Autor:in) / Shao, Chunming (Autor:in) / Wang, Guozhu (Autor:in)


    Erscheinungsdatum :

    2021-12-14


    Format / Umfang :

    13 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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