Online state-of-charge and capacity co-estimation for lithium-ion batteries under aging and varying temperatures

Donghee Son, Youngbin Song, Shina Park, Junseok Oh and Sang Woo Kim

Energy, 2025, vol. 316, issue C

Abstract: Accurate estimation of the state of charge (SOC) and capacity under various aging and temperature conditions is crucial for an effective battery management system. However, numerous studies on the co-estimation of SOC and capacity have assumed that capacity remains constant within a single cycle, often overlooking time-varying temperature conditions which limits their applicability to real-world scenarios. To address this limitation, a novel online SOC and capacity co-estimation method was developed that not only functions effectively under aging conditions but also adapts to time-varying temperature conditions by directly capturing trends in the changing capacity. The proposed method identifies the equivalent circuit model parameters using the forgetting factor recursive least square algorithm. The terminal voltage and internal resistance are then integrated into the extended Kalman filter for accurate estimation. The efficiency of the method was validated through experimental investigations under aging and time-varying temperature conditions. In the aging experiments, the method achieved SOC and capacity estimation errors below 0.75% and 3.15%, respectively. In the time-varying temperature experiments, SOC and capacity estimation errors were below 0.58% and 1.17%, respectively. Compared to traditional methods, the proposed algorithm achieved superior performance under time-varying temperature conditions, ensuring reliability in real-world conditions.

Keywords: Battery management system (BMS); State of charge; Capacity; Lithium-ion battery; Aging conditions; Time-varying temperature (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544225000763
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:316:y:2025:i:c:s0360544225000763

DOI: 10.1016/j.energy.2025.134434

Access Statistics for this article

Energy is currently edited by Henrik Lund and Mark J. Kaiser

More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().