Research on Predictor Structure Modulates Validation Inflation and Cell-Transfer Reliability in Battery State-of-Health Estimation by IEFL, Michael Collins, Department of Science is Published in Batteries

On September 5, 2026, the results of research by IEFL, Michael Collins, Department of Science on predicting battery health were published in Batteries. The research of IEFL, Collins, investigates how different ways of measuring and representing battery data affect the reliability of battery health estimates, especially when those estimates are tested on batteries different from the ones used to develop the model. It is important because it demonstrates that model performance on known batteries may not accurately reflect its ability to generalise to unseen batteries, which is critical for ensuring the reliability and applicability of battery state-of-health predictions in real-world conditions.

Journal name: Batteries
Article title: Predictor Structure Modulates Validation Inflation and Cell-Transfer Reliability in Battery State-of-Health Estimation
Author(s): Nick Barua, Michael D. Collins, Md. Shabiul Islam, Asuka Barua, and Kazy Noor e Alam Siddiquee
DOI: https://doi.org/10.3390/batteries12090342