Xiao Liu, Zhongbei Tian, Lin Jiang, Shaofeng Lu, Pingliang Zeng
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引用次数: 0
摘要
随着人们对铁路能效的日益关注,在实际列车运行中使用了两种典型的驾驶策略。一种是全功率牵引、巡航、滑行和完全制动(CC)。另一种则使用滑行-重启(CR)来替代 CC 中的巡航。然而,CC 和 CR 的节能性能会受到坡度和速度限制等线路参数的影响,目前还没有对这两种节能方式进行全面的比较和研究。本文分析了 CC 和 CR 在不同路线参数下的能量分布,并提出了针对不同坡度和速度限制的改进策略。通过 Cauchy-Bunyakovsky-Schwarz 不等式和广义的 Hölder 不等式分析了 CC 和 CR 的详细能量流,然后设计了一种新型驾驶策略 CC_CR。为了验证理论结果和所提策略的有效性,我们开发了三种模拟器,分别采用 CC、CR 和 CC_CR 驾驶模式,并将其应用于四种场景的案例研究以及一条真实的地铁线路。模拟结果表明,只有在陡峭的下坡路段,CR 的性能才优于 CC,而 CC_CR 始终是最佳策略。CC_CR 的节能效果比 CR 高出 15%,比 CC 高出 42%。
An improved energy-efficient driving strategy for routes with various gradients and speed limits
With the increasing concerns about railway energy efficiency, two typical driving strategies have been used in actual train operation. One includes a sequence of full power traction, cruising, coasting, and full braking (CC). The other uses coasting–remotoring (CR) to replace cruising in CC. However, energy-saving performance by CC and CR, which can be affected by route parameters of gradients and speed limits, has not been fully compared and studied. This paper analyses the energy distribution of CC and CR considering various route parameters and proposes an improved strategy for different gradients and speed limits. The detailed energy flow of CC and CR is analysed by Cauchy–Bunyakovsky–Schwarz inequality and the generalised Hölder's inequality, and then, a novel driving strategy CC_CR is designed. To verify the theoretical results and the effectiveness of the proposed strategy, three simulators with CC, CR, and CC_CR driving modes have been developed and implemented into case studies of four scenarios as well as a real-world metro line. Simulation results demonstrate that CR can only outperform CC on routes with steep downhill and CC_CR is always the best strategy. The energy savings of CC_CR can be as much as 15% more than CR and 42% greater than CC.
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