Detail publikačního výsledku

Battery Impedance Model Identification Via Hybrid Optimization

GRASEV, D.; BIOLEK, D.; BIOLKOVÁ, V.; KOLKA, Z.

Originální název

Battery Impedance Model Identification Via Hybrid Optimization

Anglický název

Battery Impedance Model Identification Via Hybrid Optimization

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

This paper presents a method for identifying the parameters of Li-ion battery impedance models using measured data. The primary objective is to enhance the likelihood of locating the global minimum of the objective function, rather than converging to a local one. The proposed approach integrates two optimization algorithms: Particle Swarm Optimization (PSO) and the Nelder-Mead (NM) simplex method. PSO performs a broad exploration of the parameter space to identify a promising region near a potential global minimum, while NM is employed for local refinement. The degree of interaction between the two algorithms is parametrically adjustable, allowing users to balance accuracy and computational efficiency. The methodology is demonstrated using impedance measurements of a 13,450 mAh Li-ion battery, obtained with a BioLogic SP300 potentiostat.

Anglický abstrakt

This paper presents a method for identifying the parameters of Li-ion battery impedance models using measured data. The primary objective is to enhance the likelihood of locating the global minimum of the objective function, rather than converging to a local one. The proposed approach integrates two optimization algorithms: Particle Swarm Optimization (PSO) and the Nelder-Mead (NM) simplex method. PSO performs a broad exploration of the parameter space to identify a promising region near a potential global minimum, while NM is employed for local refinement. The degree of interaction between the two algorithms is parametrically adjustable, allowing users to balance accuracy and computational efficiency. The methodology is demonstrated using impedance measurements of a 13,450 mAh Li-ion battery, obtained with a BioLogic SP300 potentiostat.

Klíčová slova

battery | constant phase element | electrochemical impedance spectroscopy (EIS) | impedance model | MATLAB | particle swarm optimization | simplex method

Klíčová slova v angličtině

battery | constant phase element | electrochemical impedance spectroscopy (EIS) | impedance model | MATLAB | particle swarm optimization | simplex method

Autoři

GRASEV, D.; BIOLEK, D.; BIOLKOVÁ, V.; KOLKA, Z.

Vydáno

01.01.2025

Nakladatel

Institute of Electrical and Electronics Engineers Inc.

Místo

USA

ISBN

979-8-3315-9352-0

Kniha

2025 17th Seminar on Power Electronics and Control Sepoc 2025

Strany počet

6

URL

https://ieeexplore.ieee.org/document/11297616

BibTex

@inproceedings{BUT201750,
  author="{} and Dalibor {Biolek} and Viera {Biolková} and Zdeněk {Kolka}",
  title="Battery Impedance Model Identification Via Hybrid Optimization",
  booktitle="2025 17th Seminar on Power Electronics and Control Sepoc 2025",
  year="2025",
  pages="6",
  publisher="Institute of Electrical and Electronics Engineers Inc.",
  address="USA",
  doi="10.1109/SEPOC67005.2025.11297616",
  isbn="979-8-3315-9352-0",
  url="https://ieeexplore.ieee.org/document/11297616"
}