Improved Parameter Identification for Lithium-Ion Batteries Based on Complex-Order Beetle Swarm Optimization Algorithm

Improved Parameter Identification for Lithium-Ion Batteries Based on Complex-Order Beetle Swarm Optimization Algorithm

With the aim of increasing the model accuracy of lithium-ion batteries (LIBs), this paper presents a complex-order beetle swarm optimization (CBSO) method, which employs complex-order (CO) operator concepts and mutation into the traditional beetle swarm optimization (BSO). Firstly, a fractional-orde...

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Bibliographic Details
Main Authors: Xiaohua Zhang, Haolin Li, Wenfeng Zhang, António M. Lopes, Xiaobo Wu, Liping Chen
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Micromachines
Subjects:
FO equivalent circuit
parameter identification
beetle swarm optimization
Online Access:https://www.mdpi.com/2072-666X/14/2/413

Internet

https://www.mdpi.com/2072-666X/14/2/413

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