A GA optimization for lithium–ion battery equalization based on SOC estimation by NN and FLC

•Dynamic SOC is estimated on basis of Ah–EMF by FLC–NN algorithm.•Equalization is optimized by GA to improve time efficiency and energy efficiency.•Two-stage DC/DC converter architecture is developed for equalizer design. An intelligent control proposal for battery equalization is presented by genet...

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Veröffentlicht in:	International journal of electrical power & energy systems Jg. 73; S. 318 - 328
Hauptverfasser:	Zhang, ShuMei, Yang, Lin, Zhao, XiaoWei, Qiang, JiaXi
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.12.2015
Schlagworte:	Ampere-hour counting method Equivalent circuit model Fuzzy logic control–neural network algorithm Genetic algorithm optimization Two-stage DC/DC converter Two-stage DC/DC converter Ampere-hour counting method Equivalent circuit model Fuzzy logic control–neural network algorithm Genetic algorithm optimization
ISSN:	0142-0615, 1879-3517
Online-Zugang:	Volltext
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