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Table · dataset · 2016

Data for A study of cell-to-cell interactions and degradation in parallel strings : implications for the battery management system

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Vehicle battery systems are usually designed with a high number of cells connected in parallel to meet the stringent requirements of power and energy.

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The self-balancing characteristic of parallel cells allows a battery management system (BMS) to approximate the cells as one equivalent cell with a single state of health (SoH) value, estimated either as capacity fade (SoHE) or resistance increase (SoHP). A single SoH value is however not applicable if the initial SoH of each cell is different, which can occur when cell properties change due to inconsistent manufacturing processes or in-homogeneous operating environments.

As such this work quantifies the convergence of SoHE and SoHP due to initial differences in cell SoH and examines the convergence factors. Four 3 Ah 18650 cells connected in parallel at 25 °C are aged by charging and discharging for 500 cycles. For an initial SoHE difference of 40% and SoHP difference of 45%, SoHE converge to 10% and SoHP to 30% by the end of the experiment.

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From this, a strong linear correlation between ΔSoHE and ΔSoHP is also observed. The results therefore imply that a BMS should consider a calibration strategy to accurately estimate the SoH of parallel cells until convergence is reached.<br><br>Characterisation test on four cells Under 01_Capacity_and_Pseudo_OCV folder: 1C capacity test and pseudo-OCV test Under 02_EIS folder: EIS data for SoC 20%, 50% and 90% Each mat file contains all the snapshots (columns 1-11, snapshot 1 to 11) and cells (rows 1-4, Cell 1 to 4)

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