A chaotic firefly - Particle filtering method of dynamic migration modeling for the state-of-charge and state-of-health co-estimation of a lithium-ion battery performance

Jialu Qiao, Shunli Wang, Chunmei Yu, Xiao Yang and Carlos Fernandez

Energy, 2023, vol. 263, issue PE

Abstract: In this research, a novel dynamic migration model is proposed, which can better describe the dynamic characteristics of the lithium-ion batteries under different aging states by adjusting the battery parameters in real-time. A novel chaotic firefly - particle filtering method is proposed, which realizes particle optimization by simulating the behavior of fireflies in nature attracting each other through light, and finds a new optimal solution by chaotic mapping a group of particles to different solution space, to realize high-precision state-of-charge and state-of-health co-estimation. Compared with the traditional particle filtering algorithm, the state-of-charge and state-of-health estimation accuracy of the proposed algorithm under the Hybrid Pulse Power Characterization condition is improved by 1.48% and 0.38% respectively, and that under the Beijing bus dynamic stress test condition is improved by 0.67% and 0.63% respectively. The proposed novel battery model and algorithm are of great significance in improving the condition monitoring quality of the battery management system.

Keywords: Electric vehicle; Lithium-ion battery; State-of-charge; State-of-health; Chaotic firefly; Migration (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:263:y:2023:i:pe:s036054422203050x

DOI: 10.1016/j.energy.2022.126164

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