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Modeling and control of lithium-ion ...

Ramaswamy, Manish.

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Modeling and control of lithium-ion dynamic battery systems for automotive applications.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Modeling and control of lithium-ion dynamic battery systems for automotive applications./
Author:	Ramaswamy, Manish.
Description:	88 p.
Notes:	Source: Masters Abstracts International, Volume: 52-02.
Contained By:	Masters Abstracts International52-02(E).
Subject:	Engineering, Electronics and Electrical. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1545563
ISBN:	9781303406171

Modeling and control of lithium-ion dynamic battery systems for automotive applications.
Ramaswamy, Manish.

Modeling and control of lithium-ion dynamic battery systems for automotive applications. - 88 p.

Source: Masters Abstracts International, Volume: 52-02.

Thesis (M.S.E.E.)--The University of Texas at Dallas, 2013.

One of the most attractive technologies for improving fuel economy in a vehicle is the use of hybrid powertrain technology. Central to the hybrid vehicle implementation is the performance of the energy storage device that feeds the electric traction motor. The automotive industry is fast evolving to Li-ion chemistries, which have more favorable power, energy density, and eefficiency. To meet the demands of greater electric ranges, parallel strings of batteries are required to increase the overall system capacity. Differences in chemical characteristics, internal resistance, and operating conditions can cause variations in remaining cell capacity, decreasing the total battery storage capacity over time, shortening the battery lifetime and eventually damaging the cells. Cell equalization tries to restore all the cells in the pack to an equal state of charge in order to prolong the battery lifetime and to ensure safe battery operations. This work presents an active charge equalization scheme with a switched Capacity to shuttle charge between the unbalanced cells in a parallel battery pack. The theoretical framework is accompanied by MATLAB simulations on a twelve cell pack in series/parallel configuration supporting the validity of the chosen approach.

ISBN: 9781303406171Subjects--Topical Terms:

626636
Engineering, Electronics and Electrical.

Modeling and control of lithium-ion dynamic battery systems for automotive applications.
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020 $a 9781303406171
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100 1 $a Ramaswamy, Manish. $3 2096402
245 1 0 $a Modeling and control of lithium-ion dynamic battery systems for automotive applications.
300 $a 88 p.
500 $a Source: Masters Abstracts International, Volume: 52-02.
500 $a Adviser: Stephen Yurkovich.
502 $a Thesis (M.S.E.E.)--The University of Texas at Dallas, 2013.
520 $a One of the most attractive technologies for improving fuel economy in a vehicle is the use of hybrid powertrain technology. Central to the hybrid vehicle implementation is the performance of the energy storage device that feeds the electric traction motor. The automotive industry is fast evolving to Li-ion chemistries, which have more favorable power, energy density, and eefficiency. To meet the demands of greater electric ranges, parallel strings of batteries are required to increase the overall system capacity. Differences in chemical characteristics, internal resistance, and operating conditions can cause variations in remaining cell capacity, decreasing the total battery storage capacity over time, shortening the battery lifetime and eventually damaging the cells. Cell equalization tries to restore all the cells in the pack to an equal state of charge in order to prolong the battery lifetime and to ensure safe battery operations. This work presents an active charge equalization scheme with a switched Capacity to shuttle charge between the unbalanced cells in a parallel battery pack. The theoretical framework is accompanied by MATLAB simulations on a twelve cell pack in series/parallel configuration supporting the validity of the chosen approach.
590 $a School code: 0382.
650 4 $a Engineering, Electronics and Electrical. $3 626636
650 4 $a Engineering, Automotive. $3 1018477
650 4 $a Engineering, System Science. $3 1018128
690 $a 0544
690 $a 0540
690 $a 0790
710 2 $a The University of Texas at Dallas. $b Electrical Engineering. $3 1679269
773 0 $t Masters Abstracts International $g 52-02(E).
790 $a 0382
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792 $a 2013
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1545563