A Repeated Measurements Approach to SoH Battery Modelling of Cyclic Aged Data in a Laboratory Environment

arXiv:2608.19879v1 Announce Type: cross Abstract: This document describes the application of a first order linearised nonlinear repeated measurements approach to the analysis of battery cell ageing profiles generated under controlled conditions in a laboratory. The primary advantage of the model is it reflects the obvious structure in the data. Consequently, it is a two-component of variance model: variation within ageing profiles (measurement noise) and variation among ageing profiles (test-to-test or cell-to-cell) variation. Novel regularised iterative generalised least squares parameter identification schemes, with optimal hyper-parameter re-estimation, are used to identify the hierarchical nonlinear model. The training data comprised SoH profiles for 10 cells aged at various constant discharge and charge current cycles at a fixed chamber environmental temperature of 25 [^ircC]. Each cell SoH profile is modelled using a simple power law expression, whereas the variation in ageing parameters is modelled using a single knot cubic B-spline. SoH is accurately predicted to pm 0.191% for SOH in [0,20].

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Source: arXiv cs.LG | 2026-08-21