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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Vydané v:International journal of electrical power & energy systems Ročník 73; s. 318 - 328
Hlavní autori: Zhang, ShuMei, Yang, Lin, Zhao, XiaoWei, Qiang, JiaXi
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Elsevier Ltd 01.12.2015
Predmet:
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
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Popis
Shrnutí:•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 genetic algorithm optimization integrated with fuzzy logic control–neural network algorithm. First, an effective two-stage DC/DC converter architecture is developed, which pave the way for the hardware module. Then, an equivalent circuit model in weighted combination with ampere-hour counting method is adopted by fuzzy logic control scheme to obtain static SOC estimation. Then the dynamic battery SOC is precisely estimated on basis of static SOC by means of neural network. The most important is the genetic algorithm optimization for battery equalization to improve the energy efficiency and time efficiency of the equalization system. Finally, certification of simulation is demonstrated to validate the proposed novel equalization scheme.
ISSN:0142-0615
1879-3517
DOI:10.1016/j.ijepes.2015.05.018