基于大数据的地铁列车能耗仿真和节能操纵

介绍了地铁车辆大数据特性，建立了列车多质点运动学模型和能耗模型，开发了一套基于大数据的地铁列车能耗仿真算法，并进行了实际线路仿真模型和算法验证；探讨了列车牵引特性下的节能操纵问题，提出了能满足列车安全、平稳、定时约束等要求的节能操纵方法。仿真结果验证了该方法的可行性。

Energy Consumption Simulation and Energy-saving Operation Research of Subway Vehicle Based on Big Data

It expounded the big data characteristic of subway vehicle, established train kinematics model and energy consumption model combined with multi-particle theory and developed an algorithm of train energy consumption simulation based on big data. Simulation model and algorithm verification of an actual line were implemented. At the same time, energy-saving operation based on the train traction characteristic was explored and an energy-saving control method was then proposed to meet the safe, steady and timing requirements. Simulation results show the validity of this method.