基于列车运行多模型的能耗仿真计算

针对目前城市轨道交通系统能耗剧增导致能耗计算量大、计算不够精准的问题，通过考虑电机动态效率，精确计算实际列车侧能耗，并构建基于列车运行单质点和多质点模型的能耗仿真计算模型。首先分析列车牵引传动系统的能量流动过程，建立各部件效率与列车运行状态的关系。然后，结合各部件效率转换，依据两表法推导基于电功率的实际列车能耗计算公式，综合分析影响能耗的因素，进一步提出考虑单质点和多质点列车模型的能耗仿真计算方法。最后，以国内某市域线路的四站三区间为例，验证本文所提能耗模型的准确性。研究结果表明：无论是单质点还是多质点列车运行模型下的运行能耗，与实际运行能耗相比，均能实现 5%以内的偏差；在单质点模型的基础上，多质点模型的运行能耗进一步减小了 1.66%的偏差。本文所提模型可以为列车节能优化提供理论支撑，助力我国绿色经济发展。

Simulation Calculation of Energy Consumption Based onMultiple Models of Train Operation

The operating mileage and total energy consumption of urban rail transit systems are constantly increasing. To accuratelycalculate energy consumption, the actual train-side energy consumption formula that considers dynamic motor efficiency and an energyconsumption simulation and calculation model based on the single- and multiple-mass-point models of train operation are constructedin this study. First, the energy flow process of the train traction drive system was studied, and the relationship between the efficiencyof each component and the train operation state was established. Second, the actual train energy consumption calculation based onelectric power was deduced according to the two-table method by combining the efficiency conversion of each component. The factorsaffecting energy consumption were comprehensively analyzed, and an energy consumption simulation and calculation methodconsidering single- and multi-mass-point train models was proposed. Finally, taking the four stations and three intervals of a regionalline in China as an example, the results show that the operation energy consumption under either the single- or the multiple-masspoint train operation model achieves a deviation of less than 5% compared with the actual energy consumption, which verifies theaccuracy of the proposed energy consumption model. In addition, the operational energy consumption of the multi-mass modelwas further reduced by a 1.66% deviation from that of the single-mass model. The proposed model provides theoretical supportfor the optimization of train energy savings and actively contributes to the development strategy of China’s green economy.