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Engine-in-the-loop study of the stochastic dynamic programming optimal control design for a hybrid electric HMMWV

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2008 English Publisher:Inderscience PublishersJournal:International Journal of Heavy Vehicle Systems, volume 15, page 309 (issn: 1744-232X, eissn: 1741-5152, Copyright policy )
Authors: Jinming Liu; Jonathan Hagena; Huei Peng; Zoran S. Filipi;

doi: 10.1504/ijhvs.2008.022247

Engine-in-the-loop study of the stochastic dynamic programming optimal control design for a hybrid electric HMMWV

Abstract

This paper presents a Stochastic Dynamic Programming (SDP) methodology for automatic generation of an implementable hybrid control strategy, and addresses engine soot emissions during controller development by using an advanced Engine-In-the-Loop (EIL) setup. Coupling the real engine with the virtual driveline/vehicle enables application of fast analysers to characterise the impact of transients on engine emissions. The benefits of using the EIL for establishing driveability and soot emissions constraints, and subsequent application of the constraints for refining the SDP strategy is demonstrated through a study of a virtual parallel-hybrid system for the High-Mobility Multipurpose Wheeled Vehicle with a V8 6L engine.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
17
Top 10%
Top 10%
Average
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