Method and System for Dynamic Generation and Control of Traction / Braking Curves of EMU Vehicles

Abstract

This application provides a method and system for dynamic generation and control of traction / braking curves for high-speed trains. The method includes: collecting fixed parameters of the track and dynamic parameters of the train, constructing and updating a parameter database; constructing a multi-objective optimization model for the traction / braking curve based on the parameter database; introducing historical operating data of each train car to modify the multi-objective optimization model, constructing a personalized optimization model for each train car; solving the personalized optimization model using a particle swarm optimization algorithm to generate a personalized traction / braking curve for each train car, which is then verified through simulation and used for the on-board control of the corresponding train car; and constructing an effect monitoring and dynamic iteration mechanism to monitor the actual operating effect of the personalized traction / braking curve in real time, achieving closed-loop dynamic optimization. This application establishes an effect monitoring and dynamic iteration mechanism to achieve closed-loop optimization, thereby significantly improving control accuracy and adaptability, and effectively reducing energy consumption and equipment wear while ensuring safety.

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