Cell-level versus module-level degradation of Li-ion batteries for grid-scale storage: A four-year parallel aging experiment and empirical capacity-fade analysis

Lithium-ion batteries dominate grid-scale storage, yet the link between single-cell and module-level performance remains unvalidated. We present a four-year experimental comparison of commercial NMC811/graphite 18650 cells and a 7.6 kWh (48P14S) module aged in parallel under standardized U.S. Department of Energy duty cycles: thirteen cycles spanning peak shaving, frequency regulation, electric vehicle, and calendar aging for cells, with peak shaving applied to the module. Among three empirical capacity-fade models, cell power-law exponents of 0.25–0.46 indicated diffusion-limited SEI growth. A single power law fit the full module dataset with a markedly higher exponent (0.73), but this reflects late-stage acceleration beyond ≈1400 days. Truncated to that window, the module exponent falls to 0.47, and a composite power-law-plus-knee model—decisively preferred by information criteria—recovers cell-like kinetics (n = 0.44) with an incipient knee, implicating current redistribution and thermal non-uniformity. Differential voltage analysis confirmed loss of lithium inventory as the dominant mechanism at both scales. Cell-calibrated expressions track early module degradation but underestimate it as a module-level knee develops, requiring scale-aware lifetime corrections.

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Publication Details

Journal
Journal of Power Sources
Published
2026-09-11
DOI
https://doi.org/10.1016/j.jpowsour.2026.241426
Primary Topic
Advanced Battery Technologies Research
Type
article
Field-Weighted Citation Impact
0.00

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article

Cell-level versus module-level degradation of Li-ion batteries for grid-scale storage: A four-year parallel aging experiment and empirical capacity-fade analysis

Alasdair Crawford, Nimat Shamim, Daiwon Choi, Ed Thomsen et al.
Journal of Power Sources
Advanced Battery Technologies Research
article

Cell-level versus module-level degradation of Li-ion batteries for grid-scale storage: A four-year parallel aging experiment and empirical capacity-fade analysis

Alasdair Crawford, Nimat Shamim, Daiwon Choi, Ed Thomsen, Vilayanur Viswanathan, David Reed, Bhuvaneswari M. Sivakumar, Vincent L. Sprenkle, Qian Huang
article en

Abstract

Lithium-ion batteries dominate grid-scale storage, yet the link between single-cell and module-level performance remains unvalidated. We present a four-year experimental comparison of commercial NMC811/graphite 18650 cells and a 7.6 kWh (48P14S) module aged in parallel under standardized U.S. Department of Energy duty cycles: thirteen cycles spanning peak shaving, frequency regulation, electric vehicle, and calendar aging for cells, with peak shaving applied to the module. Among three empirical capacity-fade models, cell power-law exponents of 0.25–0.46 indicated diffusion-limited SEI growth. A single power law fit the full module dataset with a markedly higher exponent (0.73), but this reflects late-stage acceleration beyond ≈1400 days. Truncated to that window, the module exponent falls to 0.47, and a composite power-law-plus-knee model—decisively preferred by information criteria—recovers cell-like kinetics (n = 0.44) with an incipient knee, implicating current redistribution and thermal non-uniformity. Differential voltage analysis confirmed loss of lithium inventory as the dominant mechanism at both scales. Cell-calibrated expressions track early module degradation but underestimate it as a module-level knee develops, requiring scale-aware lifetime corrections.

Journal of Power SourcesVol. 696
Pacific Northwest National Laboratory (US)
Office of Electricity
Affordable and clean energy
Openalex Percentile: Top 18%
Advanced Battery Technologies Research
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Cell-level versus module-level degradation of Li-ion batteries for grid-scale storage: A four-year parallel aging experiment and empirical capacity-fade analysis — Alasdair Crawford, Nimat Shamim, et al. · Journal of Power Sources (2026) | TGRS Research Map | TGRS