DocumentCode :
151241
Title :
Modular approach for continuous cell-level balancing to improve performance of large battery packs
Author :
Ur Rehman, M. Muneeb ; Evzelman, Michael ; Hathaway, Kelly ; Zane, Regan ; Plett, Gregory L. ; Smith, K. ; Wood, Eric ; Maksimovic, Dragan
Author_Institution :
ECE Dept., Utah State Univ., Logan, UT, USA
fYear :
2014
fDate :
14-18 Sept. 2014
Firstpage :
4327
Lastpage :
4334
Abstract :
Energy storage systems require battery cell balancing circuits to avoid divergence of cell state of charge (SOC). A modular approach based on distributed continuous cell-level control is presented that extends the balancing function to higher level pack performance objectives such as improving power capability and increasing pack lifetime. This is achieved by adding DC-DC converters in parallel with cells and using state estimation and control to autonomously bias individual cell SOC and SOC range, forcing healthier cells to be cycled deeper than weaker cells. The result is a pack with improved degradation characteristics and extended lifetime. The modular architecture and control concepts are developed and hardware results are demonstrated for a 91.2 Wh battery pack consisting of four series li-ion battery cells and four dual active bridge (DAB) bypass DC-DC converters.
Keywords :
DC-DC power convertors; bridge circuits; distributed control; energy storage; secondary cells; state estimation; DAB bypass DC-DC converter; Li-ion battery performance improvemnet; SOC divergence avoidance; battery cell balancing circuit; cell SOC control; cell state of charge divergence avoidance; degradation characteristics improvement; distributed continuous cell-level control; dual bridge bypass DC-DC converter; energy 91.2 Wh; energy storage system; modular approach; state estimation; Batteries; Computer architecture; DC-DC power converters; Mathematical model; Microprocessors; Resistance; System-on-chip;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Energy Conversion Congress and Exposition (ECCE), 2014 IEEE
Conference_Location :
Pittsburgh, PA
Type :
conf
DOI :
10.1109/ECCE.2014.6953991
Filename :
6953991
Link To Document :
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