David A. Howey | DeepAI

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Featured Co-authors

Michael A. Osborne
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Arnulf Latz
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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...

0 Volkan Kumtepeli, et al. ∙

∙ 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...

0 Antti Aitio, et al. ∙

∙ 11/10/2022

Bayesian hierarchical modelling for battery lifetime early prediction

Accurate prediction of battery health is essential for real-world system...

0 ZiHao Zhou, et al. ∙

∙ 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...

7 Masaki Adachi, et al. ∙

∙ 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...

0 Jie Lin, et al. ∙

∙ 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...

69 Antti Aitio, et al. ∙

∙ 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...

0 Philipp Dechent, et al. ∙

∙ 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...

0 Samuel Greenbank, et al. ∙

∙ 10/28/2020

Galvanalyser: A Battery Test Database

Performance and lifetime testing of batteries requires considerable effo...

0 Adam Lewis-Douglas, et al. ∙

∙ 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...

0 Robert R. Richardson, et al. ∙

∙ 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...

0 Robert R. Richardson, et al. ∙

∙ 03/16/2017

Gaussian process regression for forecasting battery state of health

Accurately predicting the future capacity and remaining useful life of b...

0 Robert R. Richardson, et al. ∙

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