DocumentCode :
3220565
Title :
On Dynamic Reconfiguration of a Large-Scale Battery System
Author :
Kim, Hahnsang ; Shin, Kang G.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Univ. of Michigan Ann Arbor, Ann Arbor, MI
fYear :
2009
fDate :
13-16 April 2009
Firstpage :
87
Lastpage :
96
Abstract :
Electric vehicles powered with large-scale battery packs are gaining popularity as gasoline price soars. Large-scale battery packs usually consist of an estimated 12,000 battery cells connected in series and parallel, which are susceptible to battery-cell failures. Unfortunately, current battery-management systems are unable to handle the inevitable battery-cell failures very well. To address this problem, we propose a dynamic reconfiguration framework that monitors, reconfigures, and controls large-scale battery packs online. The framework is built upon a syntactic bypassing mechanism that provides a set of rules for changing the battery-pack configuration, and a semantic bypassing mechanism by which the battery-cell connectivity is reconfigured to recover from a battery-cell failure. In particular, the semantic bypassing mechanism is dictated by constant-voltage-keeping and dynamic-voltage-allowing policies. The former policy is effective in preventing unavoidable voltage drops during the battery discharge, while the latter policy is effective in supplying different amounts of power to meet a wide-range of application requirements. Our experimental evaluation has shown the proposed framework to enable the battery packs to be 9 times as fault-tolerant as a legacy scheme.
Keywords :
battery management systems; battery powered vehicles; failure analysis; secondary cells; battery-cell connectivity; battery-cell failures; battery-management systems; constant-voltage-keeping policies; dynamic- voltage-allowing policies; electric vehicles; large-scale battery system; semantic bypassing mechanism; syntactic bypassing mechanism; Application software; Battery management systems; Centralized control; Control systems; Embedded computing; Large-scale systems; Power engineering computing; Real time systems; Vehicle dynamics; Voltage; Programmability; dynamic supply voltage; self-healing; self-reconfiguration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Real-Time and Embedded Technology and Applications Symposium, 2009. RTAS 2009. 15th IEEE
Conference_Location :
San Francisco, CA
ISSN :
1545-3421
Print_ISBN :
978-0-7695-3636-1
Type :
conf
DOI :
10.1109/RTAS.2009.13
Filename :
4840570
Link To Document :
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