Analysis of positioning of wayside charging stations for hybrid locomotive consists in heavy haul train operations

Author:

Ahmad ShahORCID,Spiryagin Maksym,Cole Colin,Wu Qing,Wolfs Peter,Bosomworth Chris

Abstract

AbstractHybrid locomotive concepts have been considered as a step towards converting the railway industry into a green transport mode. One of the challenges in integrating a hybrid locomotive in the train consist is that the battery pack in the locomotive needs to be recharged during a long-haul trip which requires stopping of the train. A typical battery pack requires about 1 h to recharge which is unacceptable. With the improvement in the charging system, it is now possible that the same capacity battery pack could be recharged in 10–12 min which can be a competitive option for the railway companies. This paper proposes a method based on simulation to evaluate the positioning of charging stations on a train network. A typical example of a heavy haul train operation hauled by diesel-electric and hybrid locomotives is used to demonstrate the method by using simulation softwares. The result of the simulation study show that the method developed in this paper can be used to evaluate the state of charge (SoC) status of a hybrid locomotive along the track. It is also shown that the SoC status obtained by the simulation method can be further used to assess the positions of charging stations along the track at the design stage.

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Computer Science Applications,Mechanical Engineering,Transportation,Computational Mechanics

Reference18 articles.

1. Nelson RF (2000) Power requirements for batteries in hybrid electric vehicles. J Power Sources 91(1):2–26

2. Lawson LJ, Cook LM (1979) Wayslde energy storage study, volume IV—dual mode locomotive: preliminary design study. U.S. Department of Transportation, Federal Railroad Administration

3. Battery University (2020) BU-401a: fast and ultra-fast chargers. https://batteryuniversity.com/learn/article/ultra_fast_chargers

4. Ahmed S, Bloom I, Jansen AN, Tanim T, Dufek EJ, Pesaran A et al (2017) Enabling fast charging—a battery technology gap assessment. J Power Sources 367:250–262

5. Bosomworth C, Spiryagin M, Alahakoon S, Cole C (2017) The effect of vehicle dynamics on rail foot flaw detection. In: Proceedings of the 25th international symposium on dynamics of vehicles on roads and tracks (IAVSD 2017), Rockhampton, Australia

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3