Aging-induced pressure characteristics and state-of-health estimation for large-format LFP batteries under multi-constraint operating conditions

Battery pressure is a critical indicator for battery state-of-health (SOH). In this work, long-term aging tests are conducted on large-format prismatic lithium-iron-phosphate (LFP) energy-storage cells via a custom-built multi-constraint test platform. Aging experiments under varied temperatures, pre-tightening forces and foam-buffer conditions are implemented to investigate reversible and irreversible pressure evolution during cell degradation. Experimental results show that ambient temperature, pre-tightening force and foam-buffer configuration significantly modulate reversible-pressure magnitude. Due to creep of cell components and foam materials, irreversible pressure does not increase monotonically with aging. Charging-pressure extrema of LFP cells strongly correlate with graphite phase transitions, and pressure differences between these extrema are well-correlated with SOH, showing promising potential as aging fingerprints for SOH estimation. Leave-one-condition-out cross-validation indicates that the model fusing pressure and voltage features delivers superior accuracy relative to the voltage-only counterpart. After excluding foam-buffer conditions, the mean absolute percentage error (MAPE) of the fused Elastic-Net model falls below 1%. This work clarifies pressure-related aging behaviours of large-format LFP cells under multi-constraint conditions and validates the feasibility of pressure signatures for enhanced SOH estimation, offering references for practical SOH evaluation of energy-storage batteries.

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Publication Details

Journal
Journal of Power Sources
Published
2026-09-28
DOI
https://doi.org/10.1016/j.jpowsour.2026.241609
Primary Topic
Advanced Battery Technologies Research
Type
article
Field-Weighted Citation Impact
0.00

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article

Aging-induced pressure characteristics and state-of-health estimation for large-format LFP batteries under multi-constraint operating conditions

Wenwei Wang, Shuaibang Liu, Xiaoguang Yang, Fangming Wu et al.
Journal of Power Sources
Advanced Battery Technologies Research
article

Aging-induced pressure characteristics and state-of-health estimation for large-format LFP batteries under multi-constraint operating conditions

Wenwei Wang, Shuaibang Liu, Xiaoguang Yang, Fangming Wu, Peiqiang Zhao, Xiaoyu Li, Jiuchun Jiang, Hao Li
article en

Abstract

Battery pressure is a critical indicator for battery state-of-health (SOH). In this work, long-term aging tests are conducted on large-format prismatic lithium-iron-phosphate (LFP) energy-storage cells via a custom-built multi-constraint test platform. Aging experiments under varied temperatures, pre-tightening forces and foam-buffer conditions are implemented to investigate reversible and irreversible pressure evolution during cell degradation. Experimental results show that ambient temperature, pre-tightening force and foam-buffer configuration significantly modulate reversible-pressure magnitude. Due to creep of cell components and foam materials, irreversible pressure does not increase monotonically with aging. Charging-pressure extrema of LFP cells strongly correlate with graphite phase transitions, and pressure differences between these extrema are well-correlated with SOH, showing promising potential as aging fingerprints for SOH estimation. Leave-one-condition-out cross-validation indicates that the model fusing pressure and voltage features delivers superior accuracy relative to the voltage-only counterpart. After excluding foam-buffer conditions, the mean absolute percentage error (MAPE) of the fused Elastic-Net model falls below 1%. This work clarifies pressure-related aging behaviours of large-format LFP cells under multi-constraint conditions and validates the feasibility of pressure signatures for enhanced SOH estimation, offering references for practical SOH evaluation of energy-storage batteries.

Journal of Power SourcesVol. 697
Beijing Institute of Technology (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China, National Key Research and Development Program of China Stem Cell and Translational Research
Affordable and clean energy
Openalex Percentile: Top 20%
Advanced Battery Technologies Research
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