面向节能的列车驾驶辅助技术研究

Driver Advisory Technology for Energy-Efficient Train Operation

摘要:

针对当前列车驾驶速度曲线选择具有随机性、随意性这个技术问题与难点，进行节能系统结构搭建，并设计系统信息交互方式。在此基础上，建立列车定时运行节能模型算法。创新建立基于巡航速度的遗传算法模型的求解方法，对列车定时运行节能模型算法进行计算解析，通过对运行能耗和巡航速度的编码来实现最优速度曲线的求解。提出的算法不需要预先确定工况序列表，增加了模型优化的自由度，并使得列车整体的速度曲线显得更加平稳。仿真实验的结果验证了该方法的有效性，经过与典型文献中算例进行比对，证明了该模型的优越性。该求解的最优速度曲线，可通过驾驶辅助信息最终传输到驾驶辅助系统（DAS）车载端进行显示，用于驾驶员行车指导，实现列车驾驶节能的效果。

Abstract:

Based on the technical problem and difficulty of the randomness and arbitrariness in the selection of the current train driving speed curve， this paper constructed the structure of the energy-saving driving assistance system， and designed the system information interaction mode. based on which， the energy-saving model algorithm of train running at regular time is established. The method of genetic algorithm model based on cruise speed （CS） was innovatively established， and the energy saving model algorithm of train running at regular time was calculated and analyzed. The optimal speed curve was solved by encoding the energy consumption and CS. The algorithm proposed in this paper does not need to predetermine the sequence table of working conditions， increases the degree of freedom of model optimization， and makes the overall train speed curve appear more stable. The results of simulation experiments verify the effectiveness of the proposed method， and the advantages of the proposed model are proved by comparing with the examples in typical literatures. The optimal speed curve solved in this paper can be finally transmitted to the on-board terminal of driver assistance system（DAS） through driver assistance information for display， which can be used for driving guidance and energy saving effect of train driving.