AN EVOLUTIONARY APPROACH TO LITHIUM CELL MODELLING USING MULTI-GENE GENETIC PROGRAMMING

The effect of some electro-physical parameters on the open circuit cell voltage of a Lithium ion cell composed of LiFePO4 as cathode and Li4Ti5O12 as anode electrodes were investigated. The electrodes were prepared using local material (starch) as carbon source and domestic microwave oven. The electrophysical parameters studied include the current, capacity, speci fic capacity and energy. A mathematical model describing the influences of the aforementioned parameters was then generated using an evolutionary optimization and artificial intelligence technique called the Multi Gene Genetic Programming (MGGP).

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-16
DOI
https://doi.org/10.5281/zenodo.15438178
Primary Topic
Evolutionary Algorithms and Applications
Type
article
Field-Weighted Citation Impact
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article

AN EVOLUTIONARY APPROACH TO LITHIUM CELL MODELLING USING MULTI-GENE GENETIC PROGRAMMING

Zenodo (CERN European Organization for Nuclear Research)
Evolutionary Algorithms and Applications
article

AN EVOLUTIONARY APPROACH TO LITHIUM CELL MODELLING USING MULTI-GENE GENETIC PROGRAMMING

article en

Abstract

The effect of some electro-physical parameters on the open circuit cell voltage of a Lithium ion cell composed of LiFePO4 as cathode and Li4Ti5O12 as anode electrodes were investigated. The electrodes were prepared using local material (starch) as carbon source and domestic microwave oven. The electrophysical parameters studied include the current, capacity, speci fic capacity and energy. A mathematical model describing the influences of the aforementioned parameters was then generated using an evolutionary optimization and artificial intelligence technique called the Multi Gene Genetic Programming (MGGP).

Zenodo (CERN European Organization for Nuclear Research)
Rivers State University (NG)
Openalex Percentile: Top 77%
Evolutionary Algorithms and Applications
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