A Decentralised Braking Force Distribution Strategy for High-Speed Trains

IF 2.5 4区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC
Jiuhe Wang, Zhiyong Chen, Zhiwen Chen, Weihua Gui
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引用次数: 0

Abstract

Braking force distribution (BFD) among motor and trailer carriages is essential for guaranteeing braking performance and safety in high-speed trains. A centralised BFD strategy is widely used in modern rail transportation, relying on real-time data transmission among carriages over a communication network. This paper presents a decentralised BFD strategy that eliminates the reliance on communication, thereby reducing the associated costs and complexity, while maintaining the same braking performance with more flexibility. The new strategy is built on two novel ideas: each carriage locally estimates its required braking force using coupler force measurements, and distribution of the calculated braking forces obeying a priority rule is realised by delayed implementation in different levels. The proposed scheme is validated on a hardware-in-the-loop platform and tested under both normal and abnormal scenarios. Results show that the decentralised implementation of the two new ideas achieves electric braking utilisation rates above 99.3% across all cases. Without inter-vehicle communication, the decentralised scheme incurs only a modest tracking error increase (maximum 0.88 km/h), while adhesion utilisation stays within a 3% margin. This means that the proposed method effectively balances performance, communication cost and force prioritisation, thereby offering a robust and practical alternative to centralised framework.

Abstract Image

高速列车分散制动力分配策略
动车组和挂车组制动力分配是保证高速列车制动性能和安全的关键。集中式BFD策略在现代轨道交通中被广泛应用,它依靠通信网络上车厢间的实时数据传输。本文提出了一种分散的BFD策略,消除了对通信的依赖,从而降低了相关的成本和复杂性,同时以更大的灵活性保持相同的制动性能。新策略建立在两个新颖的思想之上:每个车厢使用耦合器力测量局部估计其所需的制动力,计算出的制动力服从优先规则的分布,通过不同级别的延迟执行来实现。该方案在硬件在环平台上进行了验证,并在正常和异常情况下进行了测试。结果表明,在所有情况下,分散实施这两种新思路可实现99.3%以上的电动制动利用率。在没有车辆间通信的情况下,分散式方案只会导致适度的跟踪误差增加(最大0.88 km/h),而附着利用率保持在3%的范围内。这意味着所提议的方法有效地平衡了性能、通信成本和部队优先级,从而为集中式框架提供了一个强大而实用的替代方案。
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来源期刊
IET Intelligent Transport Systems
IET Intelligent Transport Systems 工程技术-运输科技
CiteScore
6.50
自引率
7.40%
发文量
159
审稿时长
3 months
期刊介绍: IET Intelligent Transport Systems is an interdisciplinary journal devoted to research into the practical applications of ITS and infrastructures. The scope of the journal includes the following: Sustainable traffic solutions Deployments with enabling technologies Pervasive monitoring Applications; demonstrations and evaluation Economic and behavioural analyses of ITS services and scenario Data Integration and analytics Information collection and processing; image processing applications in ITS ITS aspects of electric vehicles Autonomous vehicles; connected vehicle systems; In-vehicle ITS, safety and vulnerable road user aspects Mobility as a service systems Traffic management and control Public transport systems technologies Fleet and public transport logistics Emergency and incident management Demand management and electronic payment systems Traffic related air pollution management Policy and institutional issues Interoperability, standards and architectures Funding scenarios Enforcement Human machine interaction Education, training and outreach Current Special Issue Call for papers: Intelligent Transportation Systems in Smart Cities for Sustainable Environment - https://digital-library.theiet.org/files/IET_ITS_CFP_ITSSCSE.pdf Sustainably Intelligent Mobility (SIM) - https://digital-library.theiet.org/files/IET_ITS_CFP_SIM.pdf Traffic Theory and Modelling in the Era of Artificial Intelligence and Big Data (in collaboration with World Congress for Transport Research, WCTR 2019) - https://digital-library.theiet.org/files/IET_ITS_CFP_WCTR.pdf
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