Article, 2024

A hybrid-aided approach with adaptive state update for estimating the state-of-charge of LiFePO4 batteries considering temperature uncertainties

JOURNAL OF ENERGY STORAGE, ISSN 2352-152X, Volume 76, 10.1016/j.est.2023.109758

Contributors

Peng, Jiawei 0000-0002-1608-3280 [1] Takyi-Aninakwa, Paul 0000-0001-8210-6340 (Corresponding author) [1] [2] Wang, Shunli 0000-0003-0485-8082 [1] [2] Masahudu, Faisal [1] Yang, XiaoYong 0000-0001-5024-1361 [1] Guerrero, Josep M. [3]

Affiliations

  1. [1] Southwest Univ Sci & Technol, Sch Informat Engn, Mianyang 621010, Peoples R China
    2. [NORA names: China; Asia, East];
  2. [2] Inner Mongolia Univ Technol, Coll Elect Power, Hohhot 010080, Peoples R China
    3. [NORA names: China; Asia, East];
  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 weighted extended Kalman filter, Lithium iron phosphate battery, Multi-layered long short-term memory, Random weight algorithm, State of charge

Data Provider: Clarivate

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