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Speed profile optimization of catenary-free electric trains with lithium-ion batteries
Mälardalen University, Sweden.
RISE - Research Institutes of Sweden, ICT, SICS.ORCID iD: 0000-0003-1597-6738
Bombardier Transportation, Sweden.
Mälardalen University, Sweden.
2019 (English)In: Journal of Modern Transportation, ISSN 2095-087X, E-ISSN 2196-0577, Vol. 27, no 3, p. 153-168Article in journal (Refereed) Published
Abstract [en]

Catenary-free operated electric trains, as one of the recent technologies in railway transportation, has opened a new field of research: speed profile optimization and energy optimal operation of catenary-free operated electric trains. A well-formulated solution for this problem should consider the characteristics of the energy storage device using validated models and methods. This paper discusses the consideration of the lithium-ion battery behavior in the problem of speed profile optimization of catenary-free operated electric trains. We combine the single mass point train model with an electrical battery model and apply a dynamic programming approach to minimize the charge taken from the battery during the catenary-free operation. The models and the method are validated and evaluated against experimental data gathered from the test runs of an actual battery-driven train tested in Essex, UK. The results show a significant potential in energy saving. Moreover, we show that the optimum speed profiles generated using our approach consume less charge from the battery compared to the previous approaches.

Place, publisher, year, edition, pages
Springer Berlin Heidelberg , 2019. Vol. 27, no 3, p. 153-168
Keywords [en]
Catenary-free operation, Electric train, Energy efficiency, Speed profile optimization
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:ri:diva-39917DOI: 10.1007/s40534-018-0181-yScopus ID: 2-s2.0-85071607452OAI: oai:DiVA.org:ri-39917DiVA, id: diva2:1355391
Note

 Funding details: 2014-04319, 2012-01277; Funding details: VINNOVA; Funding text 1: This research was funded by VINNOVA (Sweden's Innovation Agency) Grant Numbers 2014-04319 and 2012-01277. Authors would like to thank Martin Joborn from Linköping University for his help, guidance and discussion on the train modeling.

Available from: 2019-09-27 Created: 2019-09-27 Last updated: 2019-09-27Bibliographically approved

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  • apa
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