Article, 2024

A novel genetic weight-directed feed forward backpropagation neural network for state of charge estimation of lithium-ion batteries

JOURNAL OF ENERGY STORAGE, ISSN 2352-152X, Volume 88, 10.1016/j.est.2024.111549

Contributors

Hai, Nan [1] Wang, Shunli 0000-0001-6019-778X (Corresponding author) [1] Liu, Donglei 0000-0002-7779-3550 [1] Fernandez, Carlos [2] Guerrero, Josep M. 0000-0001-5529-9837 [3]

Affiliations

  1. [1] Southwest Univ Sci & Technol, Engn & Technol Ctr, Sch Informat Engn, Mianyang 621010, Peoples R China
    2. [NORA names: China; Asia, East];
  2. [2] Robert Gordon Univ, Sch Pharm & Life Sci, Aberdeen AB10 7GJ, Scotland
    3. [NORA names: United Kingdom; Europe, Non-EU; OECD];
  3. [3] Aalborg Univ, Dept Energy Technol, PontoppidanstrAede 111, DK-9220 Aalborg, Denmark
    4. [NORA names: AAU Aalborg University; University; Denmark; Europe, EU; Nordic; OECD]

Abstract

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Keywords

Adaptive genetic algorithm, Feed-forward backpropagation, Lithium -ion batteries, State of charge, Weight-directed

Data Provider: Clarivate

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