State-of-charge estimation for lithium-ion batteries based on incommensurate fractional-order observer

• Tipo: Artigo em Revista Científica Internacional
• Data: 2023

Autores

Chen, LP (Autor) Outra; Guo, WL (Autor) Outra; António Mendes Lopes (Autor) FEUP; Wu, RC (Autor) Outra; Li, PH (Autor) Outra; Yin, LS (Autor) Outra

Revista

Título: Communications in Nonlinear Science and Numerical Simulation

Vol. 118

ISSN: 1007-5704

Editora: Elsevier

Indexação

ISI Web of Knowledge - 9 Citações

Scopus - 10 Citações

Outras Informações

ID Authenticus: P-00X-PBQ

DOI: 10.1016/j.cnsns.2022.107059

Abstract (EN): This paper presents a new state-of-charge (SOC) estimation method for lithium-ion batteries (LIBs) based on incommensurate fractional-order (FO) observer. First, a FO RC equivalent circuit model is constructed to describe the charging and discharging dynamic characteristics of the LIB. An adaptive FO particle swarm optimization (AFOPSO) algorithm is employed to identify the parameters of the established FO model. The accuracy of the parameterized model is verified, showing its superiority over the available ones. Then, by using the comparison principle of FO systems with multi-order and stability of FO incommensurate linear systems with multi-order, a new order -dependent incommensurate FO observer is designed for battery SOC estimation. Finally, the validity and feasibility of the proposed SOC observer are examined with real time experimental data of LIBs.(c) 2022 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 21