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07/10/2023
Fast dynamic time warping and clustering in C++
We present an approach for computationally efficient dynamic time warpin...
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04/26/2023
Learning battery model parameter dynamics from data with recursive Gaussian process regression
Estimating state of health is a critical function of a battery managemen...
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11/10/2022
Bayesian hierarchical modelling for battery lifetime early prediction
Accurate prediction of battery health is essential for real-world system...
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10/28/2022
Bayesian Model Selection of Lithium-Ion Battery Models via Bayesian Quadrature
A wide variety of battery models are available, and it is not always obv...
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09/27/2021
Multiscale coupling of surface temperature with solid diffusion in large lithium-ion pouch cells
Untangling the relationship between reactions, mass transfer, and temper...
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07/29/2021
Predicting battery end of life from solar off-grid system field data using machine learning
Hundreds of millions of people lack access to electricity. Decentralised...
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07/04/2021
Estimation of Li-ion degradation test sample sizes required to understand cell-to-cell variability
Ageing of lithium-ion batteries results in irreversible reduction in per...
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04/15/2021
Piecewise-linear modelling with feature selection for Li-ion battery end of life prognosis
The complex nature of lithium-ion battery degradation has led to many ma...
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10/28/2020
Galvanalyser: A Battery Test Database
Performance and lifetime testing of batteries requires considerable effo...
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07/17/2018
Battery health prediction under generalized conditions using a Gaussian process transition model
Accurately predicting the future health of batteries is necessary to ens...
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12/07/2017
Gaussian Process Regression for In-situ Capacity Estimation of Lithium-ion Batteries
Accurate on-board capacity estimation is of critical importance in lithi...
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03/16/2017
