A Control Oriented Fractional-Order Model of Lithium-ion Batteries Based on Caputo Definition

Fuente: arXiv
Salvato in:
Dettagli Bibliografici
Autori principali: Xu, Yangyang, Zhao, Hongyu, Zhang, Chengzhong, Liao, Chenglin
Natura: Preprint
Pubblicazione: 2025
Soggetti:
Accesso online:
Tags: Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
_version_ 1866910951971749888
author Xu, Yangyang
Zhao, Hongyu
Zhang, Chengzhong
Liao, Chenglin
author_facet Xu, Yangyang
Zhao, Hongyu
Zhang, Chengzhong
Liao, Chenglin
contents This letter proposes a fractional-order battery model based on the Caputo definition. A closed-form time-domain solution is derived, enabling a simple recursive expression for discrete-time implementation. The model requires only the current and previous time-step states in each iteration, significantly reducing memory usage compared to the conventional Grünwald--Letnikov (G-L) method. This recursive structure is highly compatible with filter design and online parameter identification. Experimental validation on a 40.2~Ah NCM622 cell shows that the proposed first-order model achieves voltage prediction accuracy comparable to a second-order integer-order model. The results demonstrate that the Caputo-based model offers a practical balance between accuracy and computational efficiency, making it well suited for real-time battery management systems (BMS).
format Preprint
id arxiv_https___arxiv_org_abs_2505_12725
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle A Control Oriented Fractional-Order Model of Lithium-ion Batteries Based on Caputo Definition
Xu, Yangyang
Zhao, Hongyu
Zhang, Chengzhong
Liao, Chenglin
Systems and Control
This letter proposes a fractional-order battery model based on the Caputo definition. A closed-form time-domain solution is derived, enabling a simple recursive expression for discrete-time implementation. The model requires only the current and previous time-step states in each iteration, significantly reducing memory usage compared to the conventional Grünwald--Letnikov (G-L) method. This recursive structure is highly compatible with filter design and online parameter identification. Experimental validation on a 40.2~Ah NCM622 cell shows that the proposed first-order model achieves voltage prediction accuracy comparable to a second-order integer-order model. The results demonstrate that the Caputo-based model offers a practical balance between accuracy and computational efficiency, making it well suited for real-time battery management systems (BMS).
title A Control Oriented Fractional-Order Model of Lithium-ion Batteries Based on Caputo Definition
topic Systems and Control
url https://arxiv.org/abs/2505.12725