城市轨道交通虚拟编组列车牵引系统研究与应用

蔡运恒1高奥2聂海龙2钟晗2祖绍鹏1

Research and Application of Traction System for Urban Rail Transit Trains Virtual Marshalling

CAI Yunheng1GAO Ao2NIE Hailong2ZHONG Han2ZU Shaopeng1
摘要:
[目的]为满足虚拟编组技术对列车牵引系统提出的高精度、快速响应及安全可靠等新需求,特开展适用于虚拟编组列车的牵引系统研究,并实现其装车应用。[方法]通过调研虚拟编组技术的特征和应用场景,明确牵引系统的功能要求和技术指标,提出基于架控方式的牵引系统技术方案。结合具体线路条件进行列车性能仿真计算,完成牵引系统产品的研制、地面试验及装车考核。在调试过程中,通过对比分析实际试验数据与仿真结果,优化仿真模型并迭代控制策略。[结果及结论]紧急制动时牵引切除延时仅为14 ms,远低于200 ms的设计要求,且牵引系统通过SIL4安全等级认证;电制动转矩在速度降至3.1 km/h时开始线性衰退,至0.3 km/h时趋近于零,实现了无冲击精准停车;平直轨道条件下,牵引与制动加速度实际值与仿真值的偏差经修正后控制在±5%以内,验证了模型的可靠性。
Abstracts:
[Objective] To address the new requirements of virtual marshalling technology for train traction systems, such as high precision, rapid response, and safety reliability, a research on traction systems suitable for virtual marshalling trains is carried out, with its onboard application achieved. [Method] By investigating the characteristics and application scenarios of virtual marshalling technology, the functional requirements and technical indicators of the traction system are defined. A bogie-controlled technical solution for the traction system is proposed. Train performance simulation calculations are carried out in combination with specific line conditions to complete the development, ground testing and onboard validation of traction system products. During the debugging process, the simulation model is optimized and the control strategy is iterated through comparative analysis of experimental data and simulation results. [Result & Conclusion] The traction cut-off delay during emergency braking is only 14 ms, far below the 200 ms design requirement, with the system passing SIL4 safety certification. The electric braking torque begins to decline linearly when speed drops to 3.1 km/h and approaches zero at 0.3 km/h, enabling smooth and precise stopping without impact. Under flat straight track conditions, the deviation between actual and simulated traction/braking acceleration values is controlled within ±5% after calibration, verifying the reliability of the model.
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