Abstract

The energy consumption modeling and the optimization solution for the traction control of high-speed trains are addressed in this paper. Based on the analysis of the operation process, an improved train traction analysis with the multi-mass modeling approach is presented, and the corresponding energy consumption model is investigated. By considering the issues of the passenger comfort and traveling time, an optimization algorithm for traction control of the high-speed trains is presented by using a multiobjective-fitness particle swarm optimization technique. Simulations are performed with practical parameters of the CRH EMU (Electric Multiple Unit) and railway line, and the results demonstrate the performance of the proposed solution over the conventional traction calculation method.

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