基于多质点模型的重载列车制动策略

Brake Strategy for Heavy-haul Train Based on Multi-particle Model

为了减小重载列车因制动延时导致的纵向冲动,提高列车运行效率,提出一种制动控制策略.将列车的每节车辆作为一个质点,建立重载列车多质点动力学模型,精确计算各节车厢的制动延时时间,并利用翟方法进行数值积分得到各质点运行状态,根据列车当前运行状态及前方路况,结合行驶约束条件提前给出合理的制动操纵策略.通过对大秦线上重载列车进行制动仿真分析,在相同的路况下采用所提出的制动控制策略,对制动过程中减小列车车钩力及缓解列车纵向冲动具有较好的效果;在路况复杂的线路上,提高了列车的平稳性,保障了列车安全运行.仿真结果表明所提方法可满足重载列车的运行要求.

To reduce the longitudinal impulse caused by the braking delay of heavy-hual train,and improve the operating efficiency of the train,a braking control strategy was put forward.First,each carriage was used as a mass point to establish the multi-mass dynamic model for the heavy-haul train.Meanwhile,the braking delay time of each carriage was accurately calculated and Zhai method was employed for model iteration to obtain the running state of the train.According to the current running state of the train and the road conditions ahead,and combined with the driving constraints,a reasonable braking control strategy was given in advance.Through the simulation analysis of the heavy-haul trains on the Daqin line,under the same road conditions,the braking control strategy proposed in this paper has a good effect on reducing the coupler force and alleviating the longitudinal impulse of the train during the braking process.Moreover,on the complicated road conditions,the stability of the train is improved and the safe operation of the train is guaranteed.The simulation results show that the proposed method meets the operation requirements of heavy-haul trains.