Battery Impedance Model Identification Via Hybrid Optimization
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F26%3A0201750" target="_blank" >RIV/00216305:26220/26:0201750 - isvavai.cz</a>
Alternative codes found
RIV/60162694:G43__/26:00566438
Result on the web
<a href="https://ieeexplore.ieee.org/document/11297616" target="_blank" >https://ieeexplore.ieee.org/document/11297616</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/SEPOC67005.2025.11297616" target="_blank" >10.1109/SEPOC67005.2025.11297616</a>
Alternative languages
Result language
angličtina
Original language name
Battery Impedance Model Identification Via Hybrid Optimization
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10102 - Applied mathematics
Result continuities
Project
<a href="/en/project/GA24-12982S" target="_blank" >GA24-12982S: Impedance spectroscopy of objects with fractional dynamics: New modeling approach</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2025 17th Seminar on Power Electronics and Control Sepoc 2025
ISBN
979-8-3315-9352-0
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
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Publisher name
Institute of Electrical and Electronics Engineers Inc.
Place of publication
USA
Event location
Balneário Camboriú, Brazil
Event date
Nov 9, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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