18 citations · 22 across the 2 of their papers we have counts for
4 papers
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…