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    Efficient Exhaustive Search of Power Split Hybrid Powertrains With Multiple Planetary Gears and Clutches

    Source: Journal of Dynamic Systems, Measurement, and Control:;2015:;volume( 137 ):;issue: 012::page 121006
    Author:
    Zhang, Xiaowu
    ,
    Eben Li, Shengbo
    ,
    Peng, Huei
    ,
    Sun, Jing
    DOI: 10.1115/1.4031533
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Planetary gear (PG) powersplit hybrid powertrains have been used in producing hybrid and plugin hybrid vehicles from the Toyota, General Motor, and Ford for years. Some of the most recent designs use clutches to enable multiple operating modes to improve launching performance and/or fuel economy. Adding clutches and multiple operating modes, however, also increases production cost and design complexity. To enable an exhaustive but fast search for optimal designs among a large number of hardware configurations, clutch locations, and mode selections, an automated modeling and screening process is developed in this paper. Combining this process with the powerweighted efficiency analysis for rapid sizing method (PEARS), an optimal and computationally efficient energy management strategy, the extremely large design space of configuration, component sizing, and control becomes feasible to search through. This methodology to identify optimal designs has yet to be reported in the literature. A case study to evaluate the proposed methodology uses the configuration adopted in the Toyota Hybrid Synergy (THSII) system used in the Prius model year 2010 and the Hybrid Camry. Two designs are investigated to compare with the simulated Prius design: one uses all possible operating modes; and the other uses a suboptimal design that limits the number of clutches to three.
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      Efficient Exhaustive Search of Power Split Hybrid Powertrains With Multiple Planetary Gears and Clutches

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    contributor authorZhang, Xiaowu
    contributor authorEben Li, Shengbo
    contributor authorPeng, Huei
    contributor authorSun, Jing
    date accessioned2017-05-09T01:16:50Z
    date available2017-05-09T01:16:50Z
    date issued2015
    identifier issn0022-0434
    identifier otherds_137_12_121006.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/157648
    description abstractPlanetary gear (PG) powersplit hybrid powertrains have been used in producing hybrid and plugin hybrid vehicles from the Toyota, General Motor, and Ford for years. Some of the most recent designs use clutches to enable multiple operating modes to improve launching performance and/or fuel economy. Adding clutches and multiple operating modes, however, also increases production cost and design complexity. To enable an exhaustive but fast search for optimal designs among a large number of hardware configurations, clutch locations, and mode selections, an automated modeling and screening process is developed in this paper. Combining this process with the powerweighted efficiency analysis for rapid sizing method (PEARS), an optimal and computationally efficient energy management strategy, the extremely large design space of configuration, component sizing, and control becomes feasible to search through. This methodology to identify optimal designs has yet to be reported in the literature. A case study to evaluate the proposed methodology uses the configuration adopted in the Toyota Hybrid Synergy (THSII) system used in the Prius model year 2010 and the Hybrid Camry. Two designs are investigated to compare with the simulated Prius design: one uses all possible operating modes; and the other uses a suboptimal design that limits the number of clutches to three.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleEfficient Exhaustive Search of Power Split Hybrid Powertrains With Multiple Planetary Gears and Clutches
    typeJournal Paper
    journal volume137
    journal issue12
    journal titleJournal of Dynamic Systems, Measurement, and Control
    identifier doi10.1115/1.4031533
    journal fristpage121006
    journal lastpage121006
    identifier eissn1528-9028
    treeJournal of Dynamic Systems, Measurement, and Control:;2015:;volume( 137 ):;issue: 012
    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