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    Control of Engine Starts for Optimal Drivability of Parallel Hybrid Electric Vehicles

    Source: Journal of Dynamic Systems, Measurement, and Control:;2013:;volume( 135 ):;issue: 002::page 21020
    Author:
    Kum, Dongsuk
    ,
    Peng, Huei
    ,
    Bucknor, Norman K.
    DOI: 10.1115/1.4023067
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The pretransmission parallel hybrid electric vehicle (HEV) with a single electric motor requires relatively little changes from existing powertrain configurations. This configuration, however, has a challenging drivability issue during enginestarts because the electric motor must simultaneously provide the demanded propulsion torque and start the engine. Depending on the propulsion power level, such enginestart process may require a tradeoff between drivability and quick start. The goal of this study is to find theoretical performance limits and corresponding optimal control strategies that achieve the balance between these two conflicting goals. We first develop a simplified parallel HEV powertrain model to predict the engine, clutch, and vehicle dynamics. Assuming that the clutch torque can be accurately estimated and perfectly cancelled, an optimal enginestart control problem is formulated to minimize enginestart time while supplying the driver demanded torque. This nonlinear constrained optimal control problem is solved both analytically and numerically. For some special cases, the optimization problem can be solved analytically to obtain a closedform solution. For the numerical method, dynamic programming (DP) is used, and both analytical and numerical solutions show that selecting a proper level of constant clutch pressure is the key to achieve nearoptimal drivability performance. Furthermore, the DP control policy is found to be timeinvariant, and thus can be implemented in the form of a full state feedback controller.
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      Control of Engine Starts for Optimal Drivability of Parallel Hybrid Electric Vehicles

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    http://yetl.yabesh.ir/yetl1/handle/yetl/151286
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    contributor authorKum, Dongsuk
    contributor authorPeng, Huei
    contributor authorBucknor, Norman K.
    date accessioned2017-05-09T00:57:20Z
    date available2017-05-09T00:57:20Z
    date issued2013
    identifier issn0022-0434
    identifier otherds_135_2_021020.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/151286
    description abstractThe pretransmission parallel hybrid electric vehicle (HEV) with a single electric motor requires relatively little changes from existing powertrain configurations. This configuration, however, has a challenging drivability issue during enginestarts because the electric motor must simultaneously provide the demanded propulsion torque and start the engine. Depending on the propulsion power level, such enginestart process may require a tradeoff between drivability and quick start. The goal of this study is to find theoretical performance limits and corresponding optimal control strategies that achieve the balance between these two conflicting goals. We first develop a simplified parallel HEV powertrain model to predict the engine, clutch, and vehicle dynamics. Assuming that the clutch torque can be accurately estimated and perfectly cancelled, an optimal enginestart control problem is formulated to minimize enginestart time while supplying the driver demanded torque. This nonlinear constrained optimal control problem is solved both analytically and numerically. For some special cases, the optimization problem can be solved analytically to obtain a closedform solution. For the numerical method, dynamic programming (DP) is used, and both analytical and numerical solutions show that selecting a proper level of constant clutch pressure is the key to achieve nearoptimal drivability performance. Furthermore, the DP control policy is found to be timeinvariant, and thus can be implemented in the form of a full state feedback controller.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleControl of Engine Starts for Optimal Drivability of Parallel Hybrid Electric Vehicles
    typeJournal Paper
    journal volume135
    journal issue2
    journal titleJournal of Dynamic Systems, Measurement, and Control
    identifier doi10.1115/1.4023067
    journal fristpage21020
    journal lastpage21020
    identifier eissn1528-9028
    treeJournal of Dynamic Systems, Measurement, and Control:;2013:;volume( 135 ):;issue: 002
    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
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