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contributor authorX. Wei
contributor authorL. Guzzella
contributor authorV. I. Utkin
contributor authorG. Rizzoni
date accessioned2017-05-09T00:23:16Z
date available2017-05-09T00:23:16Z
date copyrightJanuary, 2007
date issued2007
identifier issn0022-0434
identifier otherJDSMAA-26365#13_1.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/135513
description abstractHybrid electric vehicles provide promising alternatives to conventional engine-powered vehicles with better fuel economy and less emission. Realization of these benefits depends, in part, on proper control of the vehicle. This paper examines a variable structure control that switches between two operating points. The resulting sliding optimal control provides a better energy management strategy than that obtained conventionally from Pontryagin’s minimum principle. Since one of the operating points is at zero engine power, this sliding optimal control is also referred to as engine start-stop strategy. Contrary to the general understanding that the engine should only stop at low speeds or during decelerations, it is shown that engine start-stop also improves fuel economy during highway cruising. The main contribution of this paper is to theoretically prove that this “duty-cycle” operation mode is indeed optimal using Pontryagin’s minimum principle.
publisherThe American Society of Mechanical Engineers (ASME)
titleModel-Based Fuel Optimal Control of Hybrid Electric Vehicle Using Variable Structure Control Systems
typeJournal Paper
journal volume129
journal issue1
journal titleJournal of Dynamic Systems, Measurement, and Control
identifier doi10.1115/1.2397148
journal fristpage13
journal lastpage19
identifier eissn1528-9028
keywordsFuels
keywordsEngines
keywordsIce
keywordsOptimal control
keywordsVehicles
keywordsHybrid electric vehicles
keywordsBatteries
keywordsFuel consumption
keywordsBoundary-value problems
keywordsOptimization
keywordsMachinery
keywordsCycles
keywordsEmissions
keywordsSwitches AND Control systems
treeJournal of Dynamic Systems, Measurement, and Control:;2007:;volume( 129 ):;issue: 001
contenttypeFulltext


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