基于列车节能运行的惰行-巡航组合控制策略
高豪1柴娟2凌小雀1徐海贵1
Coasting-cruising Combined Control Strategy Based on Train Energy-efficient Operation
GAO Hao1CHAI Juan2LING Xiaoque1XU Haigui1
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作者信息:1.卡斯柯信号有限公司，200072，上海
2.上海地铁维护保障有限公司，200233，上海
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Affiliation:1.CASCO Signal Ltd., 200072, Shanghai, China
2.Shanghai Metro Maintenance Support Co., Ltd., 200233, Shanghai, China
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关键词:
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Key words:
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DOI:10.16037/j.1007-869x.2024.11.004
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中图分类号/CLCN:U284.48
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栏目/Col:研究报告
摘要:
［目的］目前的列车运行控制系统集成了列车自动驾驶子系统，可实现列车巡航控制。在保证服务质量的前提下，为了进一步降低列车运行能耗，有必要在既有列车运行控制策略的基础上，研究惰行-巡航组合控制策略。［方法］基于既有的列车运行控制策略，介绍了惰行-巡航组合控制策略的研究思路。基于Simulink仿真软件，以最小列车运行能耗和列车准点运行同时作为优化目标，引入权重因子对双优化目标进行量纲一化处理，根据线路条件划分多个控制阶段，以最大牵引、惰性、巡航和最大制动作为各阶段的控制输入，构建列车节能驾驶优化模型。利用遗传算法分别计算惰行-巡航组合控制策略和多次惰行控制策略下的列车节能优化运行曲线。［结果及结论］在长上坡区间，与多次惰行控制策略相比，惰行-巡航组合控制策略的节能效果更好。在长下坡区间，两种控制策略下的列车节能运行优化效果没有显著差异。保持相同目标运行时间，多次设置不同目标运行能耗优化后发现，列车采用惰行-巡航组合优化控制策略达到的节能效果更好且优化稳定性更高。
Abstracts:
［Objective］ Current train operation control system incorporates an automatic driving subsystem, enabling train cruising control. To further reduce train operational energy consumption while maintaining service quality, it is necessary to develop a coasting-cruising combined control strategy based on the existing train operation control strategies. ［Method］ Building on existing train operation control strategies, the research approach for the coasting-cruising combined control strategy is introduced. Based on Simulink simulation software, a train energy-efficient driving optimization model is constructed. The optimization objectives are set to minimize train operational energy consumption and ensure punctual operation by introducing weight factors to normalize the dual-optimization goal. Multiple control stages are divided according to the line conditions, with maximum traction, coasting, cruising, and maximum braking as control inputs for each stage. The genetic algorithm is used to calculate respectively the train energy-efficient optimized operation curves under the coasting-cruising combined control strategy and the multiple coasting control strategy. ［Result & Conclusion］ In long uphill sections, the coasting-cruising combined control strategy demonstrates better energy-saving effects compared to the multiple coasting control strategy. But in long downhill sections, there is no significant difference in energy-saving optimization effects between the two control strategies. When maintaining the same target running time and optimizing for different target energy consumptions multiple times, it is found that the coasting-cruising combined control strategy could achieve better energy-saving effects with higher optimization stability.
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