This research demonstrates optimization of performance parameters for EMUs, highlighting improvements in design efficiency and integration through MBSE.
As the core transportation tool of high-speed railroad, the design, and optimization of EMU is the current research hotspot. This paper aiming to improve design efficiency, optimize performance parameters. From the perspective of vehicle level, based on the requirements and operation scenarios of the whole vehicle, according to the RFLP method, combined with the SysML and M-design, we conduct the vehicle requirements analysis, functional decomposition, architecture analysis, whole vehicle index system establishment, and the auxiliary power supply(APU) system is calculated by the parameters, the battery design is optimized by PSO. The results show that integrated modeling makes the interface between systems clearer and improves the model reuse rate; the performance design and parameter optimization quantify the modeling indicators, the system energy consumption is lowered, and the closed-loop verification of requirements is realized, which is of some value to the refined design of other systems.
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Guan et al. (2025) studied this question.
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