{"title":"高速列车分散制动力分配策略","authors":"Jiuhe Wang, Zhiyong Chen, Zhiwen Chen, Weihua Gui","doi":"10.1049/itr2.70100","DOIUrl":null,"url":null,"abstract":"<p>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.</p>","PeriodicalId":50381,"journal":{"name":"IET Intelligent Transport Systems","volume":"19 1","pages":""},"PeriodicalIF":2.5000,"publicationDate":"2025-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/itr2.70100","citationCount":"0","resultStr":"{\"title\":\"A Decentralised Braking Force Distribution Strategy for High-Speed Trains\",\"authors\":\"Jiuhe Wang, Zhiyong Chen, Zhiwen Chen, Weihua Gui\",\"doi\":\"10.1049/itr2.70100\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>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.</p>\",\"PeriodicalId\":50381,\"journal\":{\"name\":\"IET Intelligent Transport Systems\",\"volume\":\"19 1\",\"pages\":\"\"},\"PeriodicalIF\":2.5000,\"publicationDate\":\"2025-10-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/itr2.70100\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IET Intelligent Transport Systems\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/itr2.70100\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IET Intelligent Transport Systems","FirstCategoryId":"5","ListUrlMain":"https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/itr2.70100","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
A Decentralised Braking Force Distribution Strategy for High-Speed Trains
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.
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