This paper takes 30,000-ton heavy-haul trains as the research object, and studies the propagation characteristics, train braking ability and longitudinal impulse level of three ECP electronic control signal Propagation modes of segmented electro-pneumatic braking under different lag times. The difference between the train’s use of segmented electro-pneumatic braking and air braking in the long ramp operation method is compared. The results show that the best way is when the leading control locomotive sends the ECP signal backward and the slave control locomotive sends the ECP signal both forward and backward. Compared with the worst mode that only the leading control locomotive propagates the ECP signal backward, the coupler force can be reduced by 46.5%, the time difference between the slowest and fastest action vehicles can be reduced by 60.5%, and the emergency braking distance can be reduced by 1.2%. With the increase in the lag time of the slave control locomotive, the differences in the braking capacity and longitudinal impulse level of the three ECP electronic control signal propagation modes decrease. The effectiveness of the slave control locomotive’s ability to send ECP signals is closely related to the lag time of the leading and slave control locomotives. Compared with pure air braking, segmented electro-pneumatic braking can delay the braking times of the last two brakes by 32.6 s and 83.7 s,respectively, during the three-cycle braking, and the starting time of relief can be delayed by 12.7 s, 89.8 s and 16.9 s respectively, and the maximum coupler force can be reduced by 30.1%. The research work of this paper can provide reference for the formulation of electro-pneumatic braking scheme of 30,000-tons heavy-haul train.


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    Title :

    The design of electronically controlled pneumatic brake signal propagation mode for electronic control braking of a 30,000-ton heavy-haul train


    Contributors:
    Ma, Qun (author) / Yao, Yuan (author) / Meng, Fanyu (author) / Wei, Wei (author)


    Publication date :

    2024-02-01




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English





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