A Fast Equalizer with Adaptive Balancing Current Control
Shun-Chung Wang,
Chun-Yu Liu and
Yi-Hua Liu
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Shun-Chung Wang: Department of Electrical Engineering, Lunghwa University of Science and Technology (LHU), No. 300, Sec.1, Wanshou Road, Guishan District, Taoyuan City 33306, Taiwan
Chun-Yu Liu: Department of Electrical Engineering, National Taiwan University of Science and Technology (NTUST), No. 43, Sec. 4, Keelung Road, Taipei 106, Taiwan
Yi-Hua Liu: Department of Electrical Engineering, National Taiwan University of Science and Technology (NTUST), No. 43, Sec. 4, Keelung Road, Taipei 106, Taiwan
Energies, 2018, vol. 11, issue 5, 1-15
Abstract:
In this paper, a fast equalizer for series-connected battery packs with adaptive balancing current control is proposed. As the duty cycle of the power switch in conventional equalizers is kept constant during the equalization process, smaller voltage difference between cells will decrease balancing current and consequently result in extended balancing time, especially in the later phase of equalization. To deal with this problem and take the battery nonlinearity and circuit parameter non-ideality into consideration, an adaptive balancing current control based on a fuzzy logic inference is proposed. The presented approach can adjust the duty ratio adaptively, according to voltages of individual cells and pack, to keep the balancing current nearly constant: Therefore, the balancing time can be shortened and the balancing efficiency can be improved. Finally, experimental results of three compared methods will be given and discussed to validate the feasibility, effectiveness, and performance improvement of the studied method.
Keywords: adaptive balancing current control; battery equalizer; fuzzy control (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: 2018
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Citations: View citations in EconPapers (3)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:11:y:2018:i:5:p:1052-:d:143107
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