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On the use of stochastic dynamic programming for the evaluation of a power-split CVT in a wheel loader
Linköping University, Department of Electrical Engineering, Vehicular Systems.
Linköping University, Department of Electrical Engineering, Vehicular Systems.
Linköping University, Department of Electrical Engineering, Vehicular Systems.
2012 (English)Conference paper, (Refereed)
Abstract [en]

Complex transmission concepts may enable high fuel efficiency but require much effort in controller development. This effort should only be spent if the potential of the concept if high, a potential which can be determined using optimization techniques. This paper examine the use of stochastic dynamic programming for transmission potential evaluation, applied on a wheel loader. The concepts evaluated is the present automatic gearbox and a multi-mode CVT (MM-CVT). A probabilistic driving cycle is created from a measurement including 34 loading cycles. Trajectory optimization is performed both against probabilistic and deterministic cycles. The paper shows that the introduction of a probabilistic load highly affect the application of optimization. It is also shown that the MM-CVT has approximately 20% lower minimum fuel requirement than the present transmission, and that this number is not sensitive to the quality of the prediction.

Place, publisher, year, edition, pages
2012.
Keyword [en]
Vehicle propulsion
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:liu:diva-138857OAI: oai:DiVA.org:liu-138857DiVA: diva2:1115235
Conference
8th IEEE Vehicle power and propulsion conference
Available from: 2017-06-26 Created: 2017-06-26 Last updated: 2017-06-26

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CiteExportLink to record
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Citation style
  • apa
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