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Modeling and control of a hybrid-ele...

The Ohio State University.

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Modeling and control of a hybrid-electric vehicle for drivability and fuel economy improvements.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Modeling and control of a hybrid-electric vehicle for drivability and fuel economy improvements./
作者:	Koprubasi, Kerem.
面頁冊數:	217 p.
附註:	Adviser: Giorgio Rizzoni.
Contained By:	Dissertation Abstracts International69-08B.
標題:	Energy. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3326289
ISBN:	9780549776666

Modeling and control of a hybrid-electric vehicle for drivability and fuel economy improvements.
Koprubasi, Kerem.

Modeling and control of a hybrid-electric vehicle for drivability and fuel economy improvements. - 217 p.

Adviser: Giorgio Rizzoni.

Thesis (Ph.D.)--The Ohio State University, 2008.

Finally, the experimental verification of this control method is illustrated using the application that originally motivated the development of this approach: the control of a HEV driveline during the transition from electric only to hybrid mode.

ISBN: 9780549776666Subjects--Topical Terms:

876794
Energy.

Modeling and control of a hybrid-electric vehicle for drivability and fuel economy improvements.
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245 1 0 $a Modeling and control of a hybrid-electric vehicle for drivability and fuel economy improvements.
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520 $a Finally, the experimental verification of this control method is illustrated using the application that originally motivated the development of this approach: the control of a HEV driveline during the transition from electric only to hybrid mode.
520 $a The gradual decline of oil reserves and the increasing demand for energy over the past decades has resulted in automotive manufacturers seeking alternative solutions to reduce the dependency on fossil-based fuels for transportation. A viable technology that enables significant improvements in the overall tank-to-wheel vehicle energy conversion efficiencies is the hybridization of electrical and conventional drive systems.
520 $a Sophisticated hybrid powertrain configurations require careful coordination of the actuators and the onboard energy sources for optimum use of the energy saving benefits. The term optimality is often associated with fuel economy, although other measures such as drivability and exhaust emissions are also equally important. This dissertation focuses on the design of hybrid-electric vehicle (HEV) control strategies that aim to minimize fuel consumption while maintaining good vehicle drivability.
520 $a In order to facilitate the design of controllers based on mathematical models of the HEV system, a dynamic model that is capable of predicting longitudinal vehicle responses in the low-to-mid frequency region (up to 10 Hz) is developed for a parallel HEV configuration. The model is validated using experimental data from various driving modes including electric only, engine only and hybrid. The high fidelity of the model makes it possible to accurately identify critical drivability issues such as time lags, shunt, shuffle, torque holes and hesitation.
520 $a Using the information derived from the vehicle model, an energy management strategy is developed and implemented on a test vehicle. The resulting control strategy has a hybrid structure in the sense that the main mode of operation (the hybrid mode) is occasionally interrupted by event-based rules to enable the use of the engine start-stop function. The changes in the driveline dynamics during this transition further contribute to the hybrid nature of the system.
520 $a To address the unique characteristics of the HEV drivetrain and to ensure smooth vehicle operation during mode changes, a special control method is developed. This method is generalized to a broad class of switched systems in which the switching conditions are state dependent or are supervised. The control approach involves partitioning the state-space such that the control law is modified as the state trajectory approaches a switching set and the state is steered to a location within the partition with low transitioning cost. Away from the partitions that contain switching sets, the controller is designed to achieve any suitable control objective. In the case of the HEV control problem, this objective generally involves minimizing fuel consumption.
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