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.

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

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.

Citation

QIAO, J., WANG, S., YU, C., YANG, X. and FERNANDEZ, C. 2022. 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. Energy [online], 263(Part E), article 126164. Available from: https://doi.org/10.1016/j.energy.2022.126164

• Journal Article Type: Article
• Acceptance Date: Nov 19, 2022
• Online Publication Date: Nov 21, 2022
• Publication Date: Jan 15, 2023
• Deposit Date: Nov 29, 2022
• Publicly Available Date: Nov 22, 2023
• Journal: Energy
• Print ISSN: 0360-5442
• Electronic ISSN: 1873-6785
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 263
• Issue: Part E
• Article Number: 126164
• DOI: https://doi.org/10.1016/j.energy.2022.126164
• Keywords: Electric vehicle; Lithium-ion battery; State-of-charge; State-of-health; Chaotic firefly; Migration
• Public URL: https://rgu-repository.worktribe.com/output/1822694