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A Modularization Method for Battery Equalizers Using Multiwinding Transformers

delete2017-10-01
delete61
PRE
AI
商云龙 cover
商云龙 (Yunlong Shang)
B
Bing Xia
Chenghui Zhang cover
Chenghui Zhang (Chenghui Zhang)
崔纳新 cover
崔纳新 (Naxin Cui)
J
Jufeng Yang
C
Chris Mı *
DOI:10.1109/TVT.2017.2702065delete
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Abstract

Abstract

En 中文
This paper proposes a modularized global architecture using multi-winding transformers for battery cell balancing. The global balancing for a series-connected battery string is achieved based on forward conversion in each battery module and based on flyback conversion among modules. The demagnetization of the multiwinding transformers is also simultaneously achieved by the flyback conversion among modules without the need of additional demagnetizing circuits. Moreover, all MOSFET switches are driven by two complementary pulse width modulation signals without the requirement of cell voltage sensors, and energy can be automatically and simultaneously delivered from any high voltage cells to any low voltage cells. Compared with existing equalizers requiring additional balancing circuits for battery modules, the proposed modularized equalizer shares one circuit for the balancing among cells and modules. The balancing performance of the proposed equalizer is perfectly verified through experimental results, and the maximum balancing efficiency is up to 91.3%. In summary, the proposed modularized equalizer has the advantages of easier modularization, simpler control, higher efficiency, smaller size, and lower cost, ensuring the battery system higher reliability and easier implementation.
Keywords:
Electric vehicles (EVs)
forward conversion
flyback conversion
lithium-ion batteries
multi-winding transformers
modularized equalizers
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Journal

IEEE Transactions on Vehicular Technology cover
IEEE Transactions on Vehicular Technology
IF:
7.1
Papers:
1.8W
Citations:
6.6W

Organization

California State University System cover
California State University System
Scholars:
2.8W
Papers: 2.4W
Citations: 457
S
shandong university
Scholars:
9.5W
Papers: 6.4W
Citations: 94
Cited Papers

Cited Papers

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A correlation based fault detection method for short circuits in battery packs
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errOAAI
errXia, Bing; Shang, Yunlong; Nguyen, Truong; Mi, Chris
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