High temperature failure of truck brake is one of the main causes of truck accidents, which is an urgent problem to be solved for vehicle safety. Especially in long downhill, the problem is more pronounced due to the frequent braking. In this paper, a brake control strategy is proposed to be applied in hybrid electric trucks. Firstly, the model considering hybrid powertrain and brake temperature rise is established. Then, an optimal method based on Pontryagin's minimum principle (PMP) is designed. To improve the adaptability of the proposed strategy to the road, a self-correcting law is designed adjust the costates in the optimization method based on road information and vehicle state. Finally, four test roads were fitted by reference to several typical highways with long downhills in China. The results that the proposed can significantly reduce the maximum braking temperature with a rule strategy in fitting long downhill. It is also found that the continuous long downhill is more disadvantageous to the brake than the staged downhill.


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    Titel :

    An Adaptive Equivalent Heat Minimization Strategy for Hybrid Electric Trucks Braking Considering Brake Temperature Rise in Long Downhills


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Sun, Fengchun (Herausgeber:in) / Yang, Qingxin (Herausgeber:in) / Dahlquist, Erik (Herausgeber:in) / Xiong, Rui (Herausgeber:in) / Yang, Liuquan (Autor:in) / Wang, Weida (Autor:in) / Yang, Chao (Autor:in) / Du, Xuelong (Autor:in) / Zhao, Bingquan (Autor:in)

    Kongress:

    International Conference on Energy Storage and Intelligent Vehicles ; 2022 December 03, 2022 - December 04, 2022



    Erscheinungsdatum :

    2023-05-11


    Format / Umfang :

    10 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch