YaBeSH Engineering and Technology Library

    • Journals
    • PaperQuest
    • YSE Standards
    • YaBeSH
    • Login
    View Item 
    •   YE&T Library
    • ASME
    • Journal of Dynamic Systems, Measurement, and Control
    • View Item
    •   YE&T Library
    • ASME
    • Journal of Dynamic Systems, Measurement, and Control
    • View Item
    • All Fields
    • Source Title
    • Year
    • Publisher
    • Title
    • Subject
    • Author
    • DOI
    • ISBN
    Advanced Search
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Archive

    Synthesis of Pontryagin's Maximum Principle Analysis for Speed Profile Optimization of All-Electric Vehicles

    Source: Journal of Dynamic Systems, Measurement, and Control:;2019:;volume( 141 ):;issue: 007::page 71004
    Author:
    Abbas, Hadi
    ,
    Kim, Youngki
    ,
    Siegel, Jason B.
    ,
    Rizzo, Denise M.
    DOI: 10.1115/1.4043117
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper presents a study of the energy-efficient operation of all-electric vehicles leveraging route information, such as road grade, to adjust the velocity trajectory. First, Pontryagin's maximum principle (PMP) is applied to derive necessary conditions and to determine the possible operating modes. The analysis shows that only five modes are required to achieve minimum energy consumption: full propulsion, cruising, coasting, full regeneration, and full regeneration with conventional braking. Then, the minimum energy consumption problem is reformulated and solved in the distance domain using dynamic programming to find the optimal speed profiles. Various simulation results are shown for a lightweight autonomous military vehicle. The sensitivity of energy consumption to regenerative-braking power limits and trip time is investigated. These studies provide important information that can be used in designing component size and scheduling operation to achieve the desired vehicle range.
    • Download: (1.695Mb)
    • Show Full MetaData Hide Full MetaData
    • Get RIS
    • Item Order
    • Go To Publisher
    • Price: 5000 Rial
    • Statistics

      Synthesis of Pontryagin's Maximum Principle Analysis for Speed Profile Optimization of All-Electric Vehicles

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4257796
    Collections
    • Journal of Dynamic Systems, Measurement, and Control

    Show full item record

    contributor authorAbbas, Hadi
    contributor authorKim, Youngki
    contributor authorSiegel, Jason B.
    contributor authorRizzo, Denise M.
    date accessioned2019-06-08T09:29:48Z
    date available2019-06-08T09:29:48Z
    date copyright3/25/2019 12:00:00 AM
    date issued2019
    identifier issn0022-0434
    identifier otherds_141_07_071004.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4257796
    description abstractThis paper presents a study of the energy-efficient operation of all-electric vehicles leveraging route information, such as road grade, to adjust the velocity trajectory. First, Pontryagin's maximum principle (PMP) is applied to derive necessary conditions and to determine the possible operating modes. The analysis shows that only five modes are required to achieve minimum energy consumption: full propulsion, cruising, coasting, full regeneration, and full regeneration with conventional braking. Then, the minimum energy consumption problem is reformulated and solved in the distance domain using dynamic programming to find the optimal speed profiles. Various simulation results are shown for a lightweight autonomous military vehicle. The sensitivity of energy consumption to regenerative-braking power limits and trip time is investigated. These studies provide important information that can be used in designing component size and scheduling operation to achieve the desired vehicle range.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleSynthesis of Pontryagin's Maximum Principle Analysis for Speed Profile Optimization of All-Electric Vehicles
    typeJournal Paper
    journal volume141
    journal issue7
    journal titleJournal of Dynamic Systems, Measurement, and Control
    identifier doi10.1115/1.4043117
    journal fristpage71004
    journal lastpage071004-10
    treeJournal of Dynamic Systems, Measurement, and Control:;2019:;volume( 141 ):;issue: 007
    contenttypeFulltext
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian
     
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian