730 citations · 4k across the 41 of their papers we have counts for
41 papers
Fast dynamic time warping and clustering in C++
Volkan Kumtepeli, Rebecca Perriment, David A. Howey
We present an approach for computationally efficient dynamic time warping (DTW) and clustering of time-series data. The method frames the dynamic warping of time series datasets as…
Predicting Battery Lifetime Under Varying Usage Conditions from Early Aging Data
Tingkai Li, Zihao Zhou, Adam Thelen +2
Accurate battery lifetime prediction is important for preventative maintenance, warranties, and improved cell design and manufacturing. However, manufacturing variability and usage…
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…
Electrochemical impedance spectroscopy beyond linearity and stationarity - a critical review
Noël Hallemans, David Howey, Alberto Battistel +7
Electrochemical impedance spectroscopy (EIS) is a widely used experimental technique for characterising materials and electrode reactions by observing their frequency-dependent imp…
Constrained optimal control of monotone systems with applications to battery fast-charging
Ross Drummond, Nicola E. Courtier, David A. Howey +2
Enabling fast charging for lithium ion batteries is critical to accelerating the green energy transition. As such, there has been significant interest in tailored fast-charging pro…
Bayesian hierarchical modelling for battery lifetime early prediction
Zihao Zhou, David A. Howey
Accurate prediction of battery health is essential for real-world system management and lab-based experiment design. However, building a life-prediction model from different cyclin…
Bayesian Model Selection of Lithium-Ion Battery Models via Bayesian Quadrature
Masaki Adachi, Yannick Kuhn, Birger Horstmann +3
A wide variety of battery models are available, and it is not always obvious which model `best' describes a dataset. This paper presents a Bayesian model selection approach using B…
Nonlinear electrochemical impedance spectroscopy for lithium-ion battery model parameterization
T. L. Kirk, A. Lewis-Douglas, D. A. Howey +2
In this work we analyse the local nonlinear electrochemical impedance spectroscopy (NLEIS) response of a lithium-ion battery and estimate model parameters from measured NLEIS data.…
Digital twin of a MWh-scale grid battery system for efficiency and degradation analysis
Jorn M. Reniers, David A. Howey
Large-scale grid-connected lithium-ion batteries are increasingly being deployed to support renewable energy roll-out on the power grid. These battery systems consist of thousands…
"Knees" in lithium-ion battery aging trajectories
Peter M. Attia, Alexander Bills, Ferran Brosa Planella +14
Lithium-ion batteries can last many years but sometimes exhibit rapid, nonlinear degradation that severely limits battery lifetime. In this work, we review prior work on "knees" in…
Anisotropic thermal characterisation of large-format lithium-ion pouch cells
Jie Lin, Howie N. Chu, Charles W. Monroe +1
Temperature strongly impacts battery performance, safety and durability, but modelling heat transfer requires accurately measured thermal properties. Herein we propose new approach…
Parameterising continuum level Li-ion battery models & the LiionDB database
A. A. Wang, S. E. J. O'Kane, F. Brosa Planella +9
The Doyle-Fuller-Newman framework is the most popular physics-based continuum-level description of the chemical and dynamical internal processes within operating lithium-ion-batter…
Multiscale coupling of surface temperature with solid diffusion in large lithium-ion pouch cells
Jie Lin, Howie N. Chu, David A. Howey +1
Untangling the relationship between reactions, mass transfer, and temperature within lithium-ion batteries enables control approaches that mitigate thermal hot spots and slow degra…
Estimation of Li-ion degradation test sample sizes required to understand cell-to-cell variability
Philipp Dechent, Samuel Greenbank, Felix Hildenbrand +3
Ageing of lithium-ion batteries results in irreversible reduction in performance. Intrinsic variability between cells, caused by manufacturing differences, occurs throughout life a…
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…
Piecewise-linear modelling with feature selection for Li-ion battery end of life prognosis
Samuel Greenbank, David A. Howey
The complex nature of lithium-ion battery degradation has led to many machine learning based approaches to health forecasting being proposed in literature. However, machine learnin…
Automated feature extraction and selection for data-driven models of rapid battery capacity fade and end of life
Samuel Greenbank, David A. Howey
Lithium-ion cells may experience rapid degradation in later life, especially with more extreme usage protocols. The onset of rapid degradation is called the `knee point', and forec…
Galvanalyser: A Battery Test Database
Adam Lewis-Douglas, Luke Pitt, David A. Howey
Performance and lifetime testing of batteries requires considerable effort and expensive specialist equipment. A wide range of potentiostats and battery testers are available on th…
Unlocking Extra Value from Grid Batteries Using Advanced Models
Jorn M. Reniers, Grietus Mulder, David A. Howey
Lithium-ion batteries are increasingly being deployed in liberalised electricity systems, where their use is driven by economic optimisation in a specific market context. However,…
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…
A State Observer Design for Simultaneous Estimation of Charge State and Crossover in Self-Discharging Disproportionation Redox Flow Batteries
Pedro Ascencio, Kirk Smith, David Howey +1
This paper presents an augmented state observer design for the simultaneous estimation of charge state and crossover flux in disproportionation redox flow batteries, which exhibits…
An Adaptive Observer Design for Charge-State and Crossover Estimation in Disproportionation Redox Flow Batteries undergoing Self-Discharge
Pedro Ascencio, Kirk Smith, Charles W. Monroe +1
This article considers a model formulation and an adaptive observer design for the simultaneous estimation of the state of charge and crossover flux in disproportionation redox flo…
Faster Lead-Acid Battery Simulations from Porous-Electrode Theory: II. Asymptotic Analysis
Valentin Sulzer, S. Jon Chapman, Colin P. Please +2
Electrochemical and equivalent-circuit modelling are the two most popular approaches to battery simulation, but the former is computationally expensive and the latter provides limi…
Battery health prediction under generalized conditions using a Gaussian process transition model
Robert R. Richardson, Michael A. Osborne, David A. Howey
Accurately predicting the future health of batteries is necessary to ensure reliable operation, minimise maintenance costs, and calculate the value of energy storage investments. T…