130 citations · 330 across the 11 of their papers we have counts for
11 papers
Data-driven nonparametric Li-ion battery ageing model aiming at learning from real operation data -- Part A: Storage operation
Lucu M., Martinez-Laserna E., Gandiaga I. +4
Conventional Li-ion battery ageing models, such as electrochemical, semi-empirical and empirical models, require a significant amount of time and experimental resources to provide…
Frequency domain parametric estimation of fractional order impedance models for Li-ion batteries
Freja Vandeputte, Noël Hallemans, Jishnu Ayyangatu Kuzhiyil +3
The impedance of a Li-ion battery contains information about its state of charge (SOC), state of health (SOH) and remaining useful life (RUL). Commonly, electrochemical impedance s…
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…
Jointly Learning Consistent Causal Abstractions Over Multiple Interventional Distributions
Fabio Massimo Zennaro, Máté Drávucz, Geanina Apachitei +2
An abstraction can be used to relate two structural causal models representing the same system at different levels of resolution. Learning abstractions which guarantee consistency…
Coupling Temperature Distribution with the Single Particle Model
Matthew Hunt, Florian Theil, Ferran Brosa Planella +1
The DFN (Doyle-Fuller-Newman) model is well know for being accurate and computationally expensive. In situations where temperature gradients are important (eg fast charging) it is…
A Single Particle Model with Electrolyte and Side Reactions for degradation of lithium-ion batteries
Ferran Brosa Planella, W. Dhammika Widanage
Battery degradation, which is the reduction of performance over time, is one of the main roadblocks to the wide deployment of lithium-ion batteries. Physics-based models, such as t…
State of Health Estimation of Lithium-Ion Batteries in Vehicle-to-Grid Applications Using Recurrent Neural Networks for Learning the Impact of Degradation Stress Factors
Kotub Uddin, James Schofield, W. Dhammika Widanage
This work presents an effective state of health indicator to indicate lithium-ion battery degradation based on a long short-term memory (LSTM) recurrent neural network (RNN) couple…
Feature Analyses and Modelling of Lithium-ion Batteries Manufacturing based on Random Forest Classification
Kailong Liu, Xiaosong Hu, Huiyu Zhou +3
Lithium-ion battery manufacturing is a highly complicated process with strongly coupled feature interdependencies, a feasible solution that can analyse feature variables within man…
Systematic derivation and validation of a reduced thermal-electrochemical model for lithium-ion batteries using asymptotic methods
Ferran Brosa Planella, Muhammad Sheikh, W. Dhammika Widanage
The widely used Doyler-Fuller-Newman (DFN) model for lithium-ion batteries is too computationally expensive for certain applications, which has motivated the appearance of a pletho…
Derivation of an Effective Thermal Electrochemical Model for Porous Electrode Batteries using Asymptotic Homogenisation
Matthew J. Hunt, Ferran Brosa Planella, Florian Theil +1
Thermal electrochemical models for porous electrode batteries (such as lithium ion batteries) are widely used. Due to the multiple scales involved, solving the model accounting for…
Comparison of several data-driven nonlinear system identification methods on a simplified glucoregulatory system example
Anna Marconato, Maarten Schoukens, Koen Tiels +3
In this paper, several advanced data-driven nonlinear identification techniques are compared on a specific problem: a simplified glucoregulatory system modeling example. This probl…