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    Model-Based Fuel Optimal Control of Hybrid Electric Vehicle Using Variable Structure Control Systems

    Source: Journal of Dynamic Systems, Measurement, and Control:;2007:;volume( 129 ):;issue: 001::page 13
    Author:
    X. Wei
    ,
    L. Guzzella
    ,
    V. I. Utkin
    ,
    G. Rizzoni
    DOI: 10.1115/1.2397148
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Hybrid 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.
    keyword(s): Fuels , Engines , Ice , Optimal control , Vehicles , Hybrid electric vehicles , Batteries , Fuel consumption , Boundary-value problems , Optimization , Machinery , Cycles , Emissions , Switches AND Control systems ,
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      Model-Based Fuel Optimal Control of Hybrid Electric Vehicle Using Variable Structure Control Systems

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    http://yetl.yabesh.ir/yetl1/handle/yetl/135513
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    • Journal of Dynamic Systems, Measurement, and Control

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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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