Battery pack SOE update strategy for cloud-edge collaborative applications based on inconsistency assessment

Junwei Zhang, Weige Zhang, Zhiwei Chen, Yanru Zhang, Shichang Ma, Xinze Zhao and Bo Zhao

Energy, 2025, vol. 331, issue C

Abstract: Inconsistent cell performance and limited hardware computing capabilities pose significant challenges to accurate battery pack State of Energy (SOE) estimation. This paper proposes a new battery pack SOE updating strategy based on inconsistency assessment, taking the power integral as a premise and utilizing partially available charging data to achieve periodic updating of the initial SOE value. A dual-layer model framework is constructed to simultaneously realize inconsistency assessment and SOE estimation. Simulation datasets covering different inconsistency state are extensively generated based on the battery pack equivalent circuit model to achieve data enhancement. The proposed method is validated using experimental data from two battery packs. The results show accurate estimates of both the cell inconsistency distribution and SOE. The absolute error in battery pack SOE estimation across the entire charging process is less than 1 %. The proposed strategy does not require all cell voltages, and the introduction of inconsistency assessment reduces the computational cost and parameter amount of the SOE estimation model, which is able to be embedded in the on-board battery management system and has been successfully validated on the hardware system.

Keywords: Battery pack; Cell inconsistency; State of energy; Synthetic data; Battery management system; Cloud-edge collaboration (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544225027148
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:331:y:2025:i:c:s0360544225027148

DOI: 10.1016/j.energy.2025.137072

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 ().