Energy-Efficient Train Control Under Wind Conditions

Railway transportation has become one of the preferred modes of public transportation due to its advantages such as low energy consumption, large capacity and high speed. In order to further promote the development of low-carbon transportation, Energy-efficient train control, issues have received widespread attention. However, most existing studies assume that the train operating environment is static or ideal, and do not fully consider the impact of environmental disturbances such as wind on train energy consumption. This paper considers the impact of wind on train energy consumption and studies the optimal driving strategy of trains in strong wind environments. Specifically, 1) This paper improves the train dynamics model and analyzes the impact of wind speed and direction changes on train resistance. 2) This paper realizes the dynamic simulation of air resistance caused by wind changes with the spatiotemporal position of the train during the entire operation of the train, effectively improving the calculation accuracy of the impact of wind-induced resistance on energy consumption, and establishes an Energy-efficient train control, model under the influence of strong winds and uses a multi-objective particle swarm algorithm to solve the model. The results show that the proposed method can effectively reduce the energy consumption during train operation under complex wind force changes.