Parameter Identification for Lithium-Ion Battery Based on Hybrid Genetic–Fractional Beetle Swarm Optimization Method

Parameter Identification for Lithium-Ion Battery Based on Hybrid Genetic–Fractional Beetle Swarm Optimization Method

This paper proposes a fractional order (FO) impedance model for lithium-ion batteries and a method for model parameter identification. The model is established based on electrochemical impedance spectroscopy (EIS). A new hybrid genetic–fractional beetle swarm optimization (HGA-FBSO) scheme is derive...

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Bibliographic Details
Main Authors: Peng Guo, Xiaobo Wu, António M. Lopes, Anyu Cheng, Yang Xu, Liping Chen
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Mathematics
Subjects:
FO equivalent circuit
parameter identification
genetic algorithm
beetle swarm optimization
Online Access:https://www.mdpi.com/2227-7390/10/17/3056

Internet

https://www.mdpi.com/2227-7390/10/17/3056

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