四网融合场景下列车轮轨黏着控制与安全韧性协同优化方法

Collaborative Optimization Method for Train Wheel-rail Adhesion Control and Safety Resilience in Four-network Integration Scenario

  • 摘要: 目的 随着我国轨道交通四网融合多制式协同发展需求的不断提升,基于时间敏感网络(TSN)的列车融合控制技术成为实现城市轨道交通与城际铁路、市域铁路互联互通的关键支撑,因此需要研究四网融合背景下列车轮轨黏着控制与安全韧性协同优化方法。方法 针对四网融合中地铁、城际等多车型协同运行对黏着控制的高要求,结合融合控制架构特点,提出一种基于蠕滑-加速度双模控制的综合轮轨黏着优化策略。该策略通过动态评估列车基准速度,融合蠕滑率反馈与加速度阈值判断,可实现多工况下空转/滑行状态的精准识别与转矩协同调控,以支撑跨制式网络牵引系统兼容性和适应性的提升。结果及结论 通过地铁车辆整车型试验及四网融合场景下的专项测试验证,结果表明所提优化策略能有效提高复杂路网环境下的列车轮轨黏着利用率,可为“四网融合”背景下的列车轮轨安全韧性优化与多网协同运维提供技术支撑。

     

    Abstract: Objective With With the increasing demands for multi-system coordinated rail transit development in China under the "four-network integration"(mainline railways, intercity railways, suburban railways, and urban rail transit) framework, train integration control technology based on TSN(time-sensitive networking) has become a key enabling the interoperability between urban rail, intercity, and regional railway systems. Therefore, it is necessary to study a collaborative optimization method for train wheel-rail adhesion control and safety resilience under the "four-network integration" scenario. Method In response to the high adhesion control requirements for multi-train-type coordinated operation, such as metro and intercity trains, within the "fournetwork integration", and combined with the characteristics of the integrated control architecture, a comprehensive wheel-rail adhesion optimization strategy based on creep-acceleration dual-mode control is proposed. This strategy dynamically evaluates the train reference speed, integrates creep rate feedback and acceleration threshold judgement, achieves accurate identification of wheel idling/slipping states under various operating scenarios and coordinated torque regulation, thereby enhancing traction system compatibility and adaptability across different rail systems. Result & Conclusion Validated through full-vehicle type testing of metro trains and dedicated testing under the "four-network integration" scenarios, the proposed optimization strategy effectively improves train wheel-rail adhesion utilization rate in complex rail network environments. It provides technical support for optimizing train wheel-rail safety resilience and collaborative multi-network operation/maintenance under the "four-network integration" framework.

     

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