PARAMETER IDENTIFICATION OF BATTERY FRACTIONAL ORDER MODEL BASED ON IMPROVED PELICAN OPTIMIZATION ALGORITHM

Jin Xiaona; Liu Ranran; Song Weihua; Guo Wei

doi:10.19912/j.0254-0096.tynxb.2025-1121

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Acta Energiae Solaris Sinica ›› 2026, Vol. 47 ›› Issue (12) : 22-29. DOI: 10.19912/j.0254-0096.tynxb.2025-1121

PARAMETER IDENTIFICATION OF BATTERY FRACTIONAL ORDER MODEL BASED ON IMPROVED PELICAN OPTIMIZATION ALGORITHM

Jin Xiaona¹, Liu Ranran¹, Song Weihua², Guo Wei¹

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Abstract

As a critical energy storage carrier in renewable energy systems, accurate battery state monitoring is essential, and the establishment of an accurate battery model is the basis for ensuring that the battery state can be accurately estimated. To achieve this, the paper proposes a model parameter identification method based on IPOA. Firstly, the battery model is established based on the fractional-order second-order RC circuit, the diversity of the initialized population is improved by introducing the Sine chaotic mapping strategy into POA. Secondly, the Lévy flight strategy is adopted to solve the problem that the algorithm is easy to fall into local optimum, and the adaptive nonlinear attenuation factor is designed to dynamically adjust the search weight, thus the IPOA is proposed to realize the identification of battery model parameters. Finally, simulation verifications are carried out under different working conditions, and the simulation results show that compared with the original pelican algorithm and the adaptive genetic algorithm, the proposed algorithm not only has higher accuracy and can accurately identify the model parameters, but also has a better estimation effect when applied to SOC estimation.

Key words

lithium-ion batteries / parameter identification / heuristic algorithm / fractional order model / pelican optimization algorithm

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Jin Xiaona, Liu Ranran, Song Weihua, Guo Wei. PARAMETER IDENTIFICATION OF BATTERY FRACTIONAL ORDER MODEL BASED ON IMPROVED PELICAN OPTIMIZATION ALGORITHM[J]. Acta Energiae Solaris Sinica. 2026, 47(12): 22-29 https://doi.org/10.19912/j.0254-0096.tynxb.2025-1121

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