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    Optimal Power Management of Hydraulic Hybrid Mobile Machines—Part II: Machine Implementation and Measurements

    Source: Journal of Dynamic Systems, Measurement, and Control:;2016:;volume( 138 ):;issue: 005::page 51003
    Author:
    Hippalgaonkar, Rohit
    ,
    Ivantysynova, Monika
    DOI: 10.1115/1.4032743
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The problem of achieving maximum system efficiency through nearoptimal supervisory control (or system power management) in mobile offhighway machines is a theoretically challenging problem. It has been tackled for the first time in this work for displacementcontrolled (DC) hydraulic hybrid multiactuator machines such as excavators, through a twopart publication. In Part I, the theoretical aspects of this problem were outlined, supported by simulations of the theoretically optimal supervisory control (relying on dynamic programming) as well as a novel, implementable rulebased supervisory control strategy (designed to replicate theoretically optimal results). In Part II of the publication, the world's first prototype hydraulic hybrid excavator using throttleless DC actuation is described, together with machine implementation of the novel supervisory control strategy proposed in Part I. The design choice, or set of component sizes implemented on the prototype, was driven by an optimal sizing study that was previously done. Measurement results from implementation of two different supervisory control strategies are also presented and discussed—the first, a conservative, suboptimal strategy that commanded a constant engine speed and proved that drastic engine downsizing can be performed in excavator and similar applications. The second strategy implemented was the novel, nearoptimal rulebased strategy (or the “minimumspeedâ€‌ strategy) proposed in Part I that exploited all available system degreesoffreedom, by commanding the minimumrequired engine speeds (to meet DC actuator flow requirements) at every instant in time. While the actual engine was not downsized on the prototype excavator, both the singlepoint and minimumspeed strategies showed that for the aggressive, digging cycles that such machines are typically used for, the DC hydraulic hybrid architecture enables engine operation at or near 50% of maximum engine power without loss of productivity. As described in Part I, actually downsizing the engine by 50% with use of the nearoptimal, minimumspeed strategy will enable significant gains in efficiency (in terms of grams of fuel consumed) over standard valvecontrolled architectures (55%) as well as DC nonhybrid architectures (25%) in cyclical operation.
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      Optimal Power Management of Hydraulic Hybrid Mobile Machines—Part II: Machine Implementation and Measurements

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    https://yetl.yabesh.ir/yetl1/handle/yetl/160679
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    • Journal of Dynamic Systems, Measurement, and Control

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    contributor authorHippalgaonkar, Rohit
    contributor authorIvantysynova, Monika
    date accessioned2017-05-09T01:27:01Z
    date available2017-05-09T01:27:01Z
    date issued2016
    identifier issn0022-0434
    identifier otherds_138_05_051003.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/160679
    description abstractThe problem of achieving maximum system efficiency through nearoptimal supervisory control (or system power management) in mobile offhighway machines is a theoretically challenging problem. It has been tackled for the first time in this work for displacementcontrolled (DC) hydraulic hybrid multiactuator machines such as excavators, through a twopart publication. In Part I, the theoretical aspects of this problem were outlined, supported by simulations of the theoretically optimal supervisory control (relying on dynamic programming) as well as a novel, implementable rulebased supervisory control strategy (designed to replicate theoretically optimal results). In Part II of the publication, the world's first prototype hydraulic hybrid excavator using throttleless DC actuation is described, together with machine implementation of the novel supervisory control strategy proposed in Part I. The design choice, or set of component sizes implemented on the prototype, was driven by an optimal sizing study that was previously done. Measurement results from implementation of two different supervisory control strategies are also presented and discussed—the first, a conservative, suboptimal strategy that commanded a constant engine speed and proved that drastic engine downsizing can be performed in excavator and similar applications. The second strategy implemented was the novel, nearoptimal rulebased strategy (or the “minimumspeedâ€‌ strategy) proposed in Part I that exploited all available system degreesoffreedom, by commanding the minimumrequired engine speeds (to meet DC actuator flow requirements) at every instant in time. While the actual engine was not downsized on the prototype excavator, both the singlepoint and minimumspeed strategies showed that for the aggressive, digging cycles that such machines are typically used for, the DC hydraulic hybrid architecture enables engine operation at or near 50% of maximum engine power without loss of productivity. As described in Part I, actually downsizing the engine by 50% with use of the nearoptimal, minimumspeed strategy will enable significant gains in efficiency (in terms of grams of fuel consumed) over standard valvecontrolled architectures (55%) as well as DC nonhybrid architectures (25%) in cyclical operation.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleOptimal Power Management of Hydraulic Hybrid Mobile Machines—Part II: Machine Implementation and Measurements
    typeJournal Paper
    journal volume138
    journal issue5
    journal titleJournal of Dynamic Systems, Measurement, and Control
    identifier doi10.1115/1.4032743
    journal fristpage51003
    journal lastpage51003
    identifier eissn1528-9028
    treeJournal of Dynamic Systems, Measurement, and Control:;2016:;volume( 138 ):;issue: 005
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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