SOC Based Battery Cell Balancing with a Novel Topology and Reduced Component Count

Jun Xu, Siqi Li, Chris Mi, Zheng Chen and Binggang Cao
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Jun Xu: School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi 710049, China
Siqi Li: Department of Electrical and Computer Engineering, University of Michigan, Dearborn, MI 48128, USA
Chris Mi: Department of Electrical and Computer Engineering, University of Michigan, Dearborn, MI 48128, USA
Zheng Chen: Department of Electrical and Computer Engineering, University of Michigan, Dearborn, MI 48128, USA
Binggang Cao: School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi 710049, China

Energies, 2013, vol. 6, issue 6, 1-15

Abstract: This paper proposes a novel battery cell balancing topology with reduced component count and simplified control. The balancing algorithm is based on the state of charge (SOC) of each individual cell instead of cell voltage. The principle of the proposed topology is analyzed and verified through simulation and experiments. Then an experimental battery test workbench is established to validate the proposed balancing algorithm. The experimental results show that the proposed balancing topology and associated algorithm can perform well in real applications.

Keywords: state of charge (SOC); battery balancing method; balancing topology; balancing strategy; battery; lithium ion battery; electric vehicle; cost; reliability (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2013
References: View complete reference list from CitEc
Citations: View citations in EconPapers (7)

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