The optimal solution to the energy-efficient train control in a multi-trains system-part 1: the algorithm design

Yu Rao, Xiaoyun Feng, Qingyuan Wang, Pengfei Sun
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Abstract

AbstractWhen a train travels in a multi-trains system, the power flow of other trains and the track grades make up the spatial–temporal area (STA) for the train. Finding the optimal solution for the energy-efficient train control problem in STA can help reduce the net energy consumption. This paper studies the analytic method to obtain the optimal solution. In Part 1, we propose an algorithm specifically designed for this problem. The underlying structure of the algorithm is the connection between three optimal states through the optimal feasible strategy. We propose an algebraic method to calculate the optimal feasible strategy and discuss how it intersects with the speed limit. In Part 2, we will discuss the optimality and uniqueness of the optimal feasible strategy. Case studies using data from a real freight railway line are given to demonstrate the effectiveness of the proposed algorithm.KEYWORDS: Optimal train controlenergy savingPontryagin’s maximum principlenet energy consumption Disclosure statementNo potential conflict of interest was reported by the author(s).CRediT authorship contribution statementYu Rao: Conceptualisation, Methodology, Software, Writing-original draft. Xiaoyun Feng: Methodology, Validation. Qingyuan Wang: Supervision, Visualisation. Pengfei Sun: Conceptualisation, Writing-review & editing.Data availability statementThe data that support the findings of this study are available from the corresponding author upon reasonable request.Additional informationFundingThis work was supported by the National Natural Science Foundation of China under grant 62003283 and the National Key Research and Development Program of China under grant 2021YFB2601500.
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多列车系统中节能列车控制的最优解——算法设计
摘要当列车在多列车系统中运行时,其他列车的功率流和轨道等级构成了列车的时空区域(STA)。寻找列车节能控制问题的最优解有助于降低净能耗。本文研究了求最优解的解析方法。在第1部分中,我们提出了一个专门针对这个问题设计的算法。该算法的底层结构是通过最优可行策略将三种最优状态连接起来。我们提出了一种计算最优可行策略的代数方法,并讨论了最优可行策略如何与限速相交。在第二部分中,我们将讨论最优可行策略的最优性和唯一性。最后以实际货运铁路的数据为例,验证了该算法的有效性。关键词:列车最优控制节能庞特里亚金最大原则能耗披露声明作者未报告潜在利益冲突。俞饶:概念、方法、软件、写作——原稿。冯晓云:方法论,验证。王清远:监督,可视化。孙鹏飞:概念、写作、评审、编辑。数据可得性声明支持本研究结果的数据可根据通讯作者的合理要求获得。项目资助:国家自然科学基金项目(62003283)和国家重点研发计划项目(2021YFB2601500)。
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Transportmetrica
Transportmetrica 工程技术-运输科技
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