Parallel aging experiment reveals late-stage accelerated capacity fade in grid-scale battery modules, indicating that cell-level models require scale-aware lifetime corrections.
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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Shamim et al. (2026) studied this question.
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