Complete vehicle energy management with large horizon optimization

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Abstract

In this paper, we extend the dual decomposition approach to Complete Vehicle Energy Management (CVEM) with novel solution methods to reduce computation time. The CVEM problem is solved for a case study of a hybrid heavy-duty vehicle, equipped with an electric machine, a high-voltage battery system and a refrigerated semi-trailer, by combining two solution methods. The first proposed solution method is to apply another decomposition on top of the dual decomposition that was proposed before. This additional decomposition is based on the Alternating Direction Method of Multipliers. The second proposed solution method uses the Lagrangian Method that is best suited for systems whose optimal state trajectory has limited contact points with its constraints. The computational efficiency is demonstrated by solving the problem for a drive cycle with 88656 time steps in 29 minutes. Moreover, we show that for a drive cycle of 2000 time steps, the computation time can be reduced with a factor 100, when compared to the previously proposed dual decomposition approach.
Original languageEnglish
Title of host publication54th IEEE Conference on Decision and Control (CDC 2015), December 15-18, 2015, Osaka, Japan.
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
Pages632-637
ISBN (Electronic)978-1-4799-7885-4
ISBN (Print)978-1-4799-7884-7
DOIs
Publication statusPublished - 2015
Event54th IEEE Conference on Decision and Control (CDC 2015) - "Osaka International Convention Center", Osaka, Japan
Duration: 15 Dec 201518 Dec 2015
Conference number: 54
http://www.cdc2015.ctrl.titech.ac.jp/

Conference

Conference54th IEEE Conference on Decision and Control (CDC 2015)
Abbreviated titleCDC 2015
CountryJapan
CityOsaka
Period15/12/1518/12/15
Internet address

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