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    State of Charge Management for Plug In Hybrid Vehicles With Uncertain Trip Information

    Source: Journal of Dynamic Systems, Measurement, and Control:;2015:;volume( 137 ):;issue: 009::page 91005
    Author:
    Manzie, Chris
    ,
    Dewangan, Prakash
    ,
    Corde, Gilles
    ,
    Grondin, Olivier
    ,
    Sciarretta, Antonio
    DOI: 10.1115/1.4030428
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Efficient state of charge management of plugin hybrid electric vehicles (PHEVs) differs from their nonplugin counterparts through the utilization of a charge depleting (CD) mode of operation. Several studies have shown that a blended mode of CD holds fuel economy advantages over a CD and charge sustaining (CS) combination, however, these approaches assume knowledge of the total journey distance. Here, this assumption is relaxed and the state of charge trajectory was recalculated online using a weaker assumption that only a probability distribution accumulated over past trips is available. The importance of other contributing factors to the state of charge profile such as vehicle velocity and altitude is also assessed. Simulation results on a prototype plugin hybrid are presented with an adaptive equivalent consumption minimization strategy (ECMS) used by the powertrain management to track the proposed state of charge trajectory. The financial and environmental benefits of the proposed approach relative to other state of charge management strategies are then calculated over a number of different cycles and conditions.
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      State of Charge Management for Plug In Hybrid Vehicles With Uncertain Trip Information

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    http://yetl.yabesh.ir/yetl1/handle/yetl/157592
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    • Journal of Dynamic Systems, Measurement, and Control

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    contributor authorManzie, Chris
    contributor authorDewangan, Prakash
    contributor authorCorde, Gilles
    contributor authorGrondin, Olivier
    contributor authorSciarretta, Antonio
    date accessioned2017-05-09T01:16:39Z
    date available2017-05-09T01:16:39Z
    date issued2015
    identifier issn0022-0434
    identifier otherds_137_09_091005.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/157592
    description abstractEfficient state of charge management of plugin hybrid electric vehicles (PHEVs) differs from their nonplugin counterparts through the utilization of a charge depleting (CD) mode of operation. Several studies have shown that a blended mode of CD holds fuel economy advantages over a CD and charge sustaining (CS) combination, however, these approaches assume knowledge of the total journey distance. Here, this assumption is relaxed and the state of charge trajectory was recalculated online using a weaker assumption that only a probability distribution accumulated over past trips is available. The importance of other contributing factors to the state of charge profile such as vehicle velocity and altitude is also assessed. Simulation results on a prototype plugin hybrid are presented with an adaptive equivalent consumption minimization strategy (ECMS) used by the powertrain management to track the proposed state of charge trajectory. The financial and environmental benefits of the proposed approach relative to other state of charge management strategies are then calculated over a number of different cycles and conditions.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleState of Charge Management for Plug In Hybrid Vehicles With Uncertain Trip Information
    typeJournal Paper
    journal volume137
    journal issue9
    journal titleJournal of Dynamic Systems, Measurement, and Control
    identifier doi10.1115/1.4030428
    journal fristpage91005
    journal lastpage91005
    identifier eissn1528-9028
    treeJournal of Dynamic Systems, Measurement, and Control:;2015:;volume( 137 ):;issue: 009
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian