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Simulation modeling and interface parameter design of the semi‐physical braking intelligent test system
Author(s) -
Ying Zhi Ding,
Wan Guo Chun,
Liu Wen Jing,
Tong Mei Song
Publication year - 2019
Publication title -
international journal of numerical modelling: electronic networks, devices and fields
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.249
H-Index - 30
eISSN - 1099-1204
pISSN - 0894-3370
DOI - 10.1002/jnm.2602
Subject(s) - modular design , interface (matter) , process (computing) , computer science , train , braking system , automotive engineering , simulation , focus (optics) , control engineering , engineering , brake , physics , cartography , optics , bubble , maximum bubble pressure method , parallel computing , geography , operating system
In order to adapt to the improvement of freight train braking technology, it is a good method to establish a semi‐physical braking intelligent test system, and the core technology of modeling and interface that supports the system is especially critical. Based on the above background, this paper is focus on the simulation modeling that reflects the braking performance characteristics of freight trains and designs the interface system that can be connected with the test equipment. Based on the analysis of the state equations of pressure gas during the braking process and the characteristics of fluid changes, this paper deduces a modular digital model of the braking machine that reflects the structural factors and the influencing factors of the process of fluid transfer. Then it combines the specific braking tests to verify the significance of the model and the effect of parameter changes on braking performance. The experimental results show the accuracy and feasibility of the modeling process, which provides a reference model establishing method and a research idea for the establishment of a more completed set of freight train braking system mathematical model. The design and implementation of this part of the technology also provide an important basis for the control part of the entire semi‐physical braking intelligent test system.