A low-cost time shared cell balancing technique for future lithium-ion battery storage system featuring regenerative energy distribution

2011 ◽  
Author(s):  
Abusaleh M. Imtiaz ◽  
Faisal H. Khan ◽  
Haresh Kamath
Keyword(s):  
Energy Distribution ◽  
Lithium Ion Battery ◽  
Low Cost ◽  
Storage System ◽  
Lithium Ion ◽  
Battery Storage ◽  
Regenerative Energy ◽  
Cell Balancing

Control of a lithium-ion battery storage system for microgrid applications

2014 ◽  
Vol 272 ◽  
pp. 531-540 ◽  
Author(s):  
Jordi Pegueroles-Queralt ◽  
Fernando D. Bianchi ◽  
Oriol Gomis-Bellmunt
Keyword(s):  
Lithium Ion Battery ◽  
Storage System ◽  
Lithium Ion ◽  
Battery Storage

scholarly journals A Low Cost and Fast Cell-to-Cell Balancing Circuit for Lithium-Ion Battery Strings

Electronics ◽  
2020 ◽  
Vol 9 (2) ◽  
pp. 248 ◽  
Author(s):  
Van-Long Pham ◽  
Van-Tinh Duong ◽  
Woojin Choi
Keyword(s):  
Lithium Ion Batteries ◽  
Lithium Ion Battery ◽  
Digital Signal Processor ◽  
Low Voltage ◽  
Low Cost ◽  
Lithium Ion ◽  
Cell Voltage ◽  
Maximum Efficiency ◽  
Transfer Energy ◽  
Cell Balancing

This paper proposes a fast cell-to-cell balancing circuit for lithium-ion battery strings. The proposed method uses only one push-pull converter to transfer energy between high- and low-voltage cells directly for a fast balancing speed. The switch network for selecting a certain pair of cells is implemented using relays to achieve a low cost. The control circuit is composed of a battery-monitoring IC and a digital signal processor (DSP) to monitor the cell voltage and to protect the batteries. In order to prove the validity of the proposed method, a prototype circuit is built with twelve lithium-ion batteries in a string. The experimental results show that it takes only 50 min to balance twelve lithium-ion batteries during the charge with 89.5% maximum efficiency. The outstanding performance of the proposed cell balancing circuit is verified through its comparison with other methods in terms of several factors, such as the balancing time and the implementation cost.

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