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Modeling, Optimization and Hardware-...

Tara, Ehsan.

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Modeling, Optimization and Hardware-in-Loop Simulation of Hybrid Electric Vehicles.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Modeling, Optimization and Hardware-in-Loop Simulation of Hybrid Electric Vehicles./
Author:	Tara, Ehsan.
Description:	193 p.
Notes:	Source: Dissertation Abstracts International, Volume: 75-04(E), Section: B.
Contained By:	Dissertation Abstracts International75-04B(E).
Subject:	Engineering, Electronics and Electrical. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=NR98724
ISBN:	9780494987247

Modeling, Optimization and Hardware-in-Loop Simulation of Hybrid Electric Vehicles.
Tara, Ehsan.

Modeling, Optimization and Hardware-in-Loop Simulation of Hybrid Electric Vehicles. - 193 p.

Source: Dissertation Abstracts International, Volume: 75-04(E), Section: B.

Thesis (Ph.D.)--University of Manitoba (Canada), 2013.

This thesis investigates modeling and simulation of hybrid electric vehicles with particular emphasis on transient modeling and real-time simulation. Three different computer models, i.e. a steady state model, a fully-detailed transient model and a reduced-intensity transient model, are developed for a hybrid drive-train in this study.

ISBN: 9780494987247Subjects--Topical Terms:

626636
Engineering, Electronics and Electrical.

Modeling, Optimization and Hardware-in-Loop Simulation of Hybrid Electric Vehicles.
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020 $a 9780494987247
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035 $a AAINR98724
040 $a MiAaPQ $c MiAaPQ
100 1 $a Tara, Ehsan. $3 2103105
245 1 0 $a Modeling, Optimization and Hardware-in-Loop Simulation of Hybrid Electric Vehicles.
300 $a 193 p.
500 $a Source: Dissertation Abstracts International, Volume: 75-04(E), Section: B.
500 $a Adviser: Shaahin Filizadeh.
502 $a Thesis (Ph.D.)--University of Manitoba (Canada), 2013.
520 $a This thesis investigates modeling and simulation of hybrid electric vehicles with particular emphasis on transient modeling and real-time simulation. Three different computer models, i.e. a steady state model, a fully-detailed transient model and a reduced-intensity transient model, are developed for a hybrid drive-train in this study.
520 $a The steady-state model, which has low computational intensity, is used to determine the optimal battery size and chemistry for a plug-in hybrid drive-train. Simulation results using the developed steady state model show the merits of NiMH and Li-ion battery technologies. Based on the obtained results and the reducing cost of Li-ion batteries, this battery chemistry is used throughout this research.
520 $a A fully-detailed transient model is developed to simulate the vehicle behaviour under different driving conditions. This model includes the dynamics of the power train components such as the engine, the power-electronic converters and vehicle controllers of all levels. The developed transient model produces an accurate representation of the drive-train including the switching behaviour of the power electronic converters.
520 $a A reduced-intensity transient model (also referred to as a dynamic average model) is developed for real-time hardware-in-loop simulation of the vehicle. By reducing the computational demand of the detailed transient model using averaging techniques, the reduced-intensity model is implemented on a real-time simulator and is interfaced to an external subsystem such as an actual battery.
520 $a The setup can be used to test existing and emerging battery technologies, which may not have an accurate mathematical model. Extensive tests are performed to verify the accuracy and validity of the results obtained from the developed hardware-in-loop simulation setup.
590 $a School code: 0303.
650 4 $a Engineering, Electronics and Electrical. $3 626636
650 4 $a Engineering, Automotive. $3 1018477
690 $a 0544
690 $a 0540
710 2 $a University of Manitoba (Canada). $b Electrical and Computer Engineering. $3 2098766
773 0 $t Dissertation Abstracts International $g 75-04B(E).
790 $a 0303
791 $a Ph.D.
792 $a 2013
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=NR98724