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AN ALGORITHM FOR OPTIMAL CONTROL OF AN ELECTRIC MULTIPLE UNIT
Mälardalen University, School of Business, Society and Engineering, Future Energy Center.ORCID iD: 0000-0001-8697-855X
SICS - swedish institute of computer science, Sweden.ORCID iD: 0000-0003-1597-6738
Mälardalen University, School of Business, Society and Engineering, Future Energy Center.ORCID iD: 0000-0003-4589-7045
Mälardalen University, School of Business, Society and Engineering, Future Energy Center.ORCID iD: 0000-0002-7233-6916
2014 (English)In: Proceedings from The 55th Conference on Simulation and Modelling (SIMS 55),21-22 October, 2014. Aalborg, Denmark, Linköping: Linköping University Electronic Press, 2014Conference paper, Published paper (Refereed)
Abstract [en]

This paper offers a solution for the optimal EMU train (Electric Multiple Unit) operation with the aim of minimizing the energy consumption. EMU is an electric train with traction motors in more than one carriage. The algorithm is based on dynamic programming and the Hamilton-Jacobi-Bellman equation. To model the train, real data has been used, which was provided by experts from Bombardier Transportation Västerås. To evaluate the model, some experiments have been done on the energy saving in exchange for the increase in the trip time. Moreover a simple accuracy factor is introduced to evaluate the accuracy of the model. The final goal is to use this approach as a base for a driver advisory system, therefore it is important to have the amount of calculations as minimum as possible. The paper also includes the studies done on the calculation time. The solution can be used for driverless trains as well as normal trains. It should be mentioned that this paper is a part of a research which is still in progress and the final model will also be used by Bombardier Transportation Västerås as an evaluation tool for the propulsions systems and trains.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2014.
Keyword [en]
Dynamic programming, Hamilton-Jacobi-Bellman equation, DAS, EMU
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering Other Environmental Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-26832OAI: oai:DiVA.org:mdh-26832DiVA: diva2:769423
Conference
55th SIMS Conference on Simulation and Modelling, SIMS 2014, October 21 to 22, 2014, Aalborg, Denmark
Projects
Future Energy Profile
Funder
VINNOVA, 2012-01277
Available from: 2014-12-08 Created: 2014-12-05 Last updated: 2017-03-22Bibliographically approved

Open Access in DiVA

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