116 citations · 126 across the 4 of their papers we have counts for
4 papers
Learning Li-ion battery health and degradation modes from data with aging-aware circuit models
Zihao Zhou, Antti Aitio, David Howey
Non-invasive estimation of Li-ion battery state-of-health from operational data is valuable for battery applications, but remains challenging. Pure model-based methods may suffer f…
Learning battery model parameter dynamics from data with recursive Gaussian process regression
Antti Aitio, Dominik Jöst, Dirk Uwe Sauer +1
Estimating state of health is a critical function of a battery management system but remains challenging due to the variability of operating conditions and usage requirements of re…
Predicting battery end of life from solar off-grid system field data using machine learning
Antti Aitio, David A. Howey
Hundreds of millions of people lack access to electricity. Decentralised solar-battery systems are key for addressing this whilst avoiding carbon emissions and air pollution, but a…
Bayesian Parameter Estimation Applied to the Li-ion Battery Single Particle Model with Electrolyte Dynamics
Antti Aitio, Scott G. Marquis, Pedro Ascencio +1
This paper presents a Bayesian parameter estimation approach and identifiability analysis for a lithium-ion battery model, to determine the uniqueness, evaluate the sensitivity and…